Qureos Mentor

Information Technology Senior Management Forum

<div><div>Posted Date
7/10/2026
</div><div>Description
<div>Principal Data Analyst - Strategy and Analytics
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged on three types of work &ndash; Innovation, Business Intelligence, and Data Management:
Innovation<ul><li>
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms</li><li>
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers</li><li>
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives</li></ul>
Business Intelligence<ul><li>
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization</li><li>
Drive analysis that provides meaningful insights on business strategies</li></ul>
Data Management<ul><li>
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions</li><li>
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance</li><li>
Build and execute tools to monitor and report on data quality</li></ul>
Our ideal candidate will have:<ul><li>
Degree specialized in a Science, Technology, Engineering, Mathematics discipline</li><li>
Scripting experience in (Python, R, Spark, and SQL)</li><li>
Sound statistical and machine learning experience, including regression, classifiers, clustering, and causal inference.</li><li>
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)</li><li>
Experience utilizing and developing within AWS services</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master&rsquo;s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
 At least 3 years of experience working with at least one scripting language</li><li>
 At least 3 years of experience utilizing a business intelligence visualization tool</li><li>
 At least 3 years of experience in querying, analyzing and working with data languages and platforms</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li><li>
At least 4 years of experience coding in Python, R, Spark, or SQL</li><li>
At least 4 years of experience working within process management and improvement methodologies &ndash; Agile, Lean, Six Sigma, etc.</li><li>
At least 2 years of experience utilizing and developing within AWS services</li><li>
At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $131,300 - $149,800 for Principal Data Analyst 

New York, NY: $143,200 - $163,500 for Principal Data Analyst 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Data Analyst - Strategy and Analytics
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged on three types of work &ndash; Innovation, Business Intelligence, and Data Management:
Innovation<ul><li>
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms</li><li>
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers</li><li>
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives</li></ul>
Business Intelligence<ul><li>
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization</li><li>
Drive analysis that provides meaningful insights on business strategies</li></ul>
Data Management<ul><li>
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions</li><li>
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance</li><li>
Build and execute tools to monitor and report on data quality</li></ul>
Our ideal candidate will have:<ul><li>
Degree specialized in a Science, Technology, Engineering, Mathematics discipline</li><li>
Scripting experience in (Python, R, Spark, and SQL)</li><li>
Sound statistical and machine learning experience, including regression, classifiers, clustering, and causal inference.</li><li>
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)</li><li>
Experience utilizing and developing within AWS services</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master&rsquo;s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
 At least 3 years of experience working with at least one scripting language</li><li>
 At least 3 years of experience utilizing a business intelligence visualization tool</li><li>
 At least 3 years of experience in querying, analyzing and working with data languages and platforms</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li><li>
At least 4 years of experience coding in Python, R, Spark, or SQL</li><li>
At least 4 years of experience working within process management and improvement methodologies &ndash; Agile, Lean, Six Sigma, etc.</li><li>
At least 2 years of experience utilizing and developing within AWS services</li><li>
At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $131,300 - $149,800 for Principal Data Analyst 

New York, NY: $143,200 - $163,500 for Principal Data Analyst 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
131,300.00 - 149,800.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Principal Data Analyst - Strategy and Analytics

<div><div>Posted Date
7/10/2026
</div><div>Description
<div>Manager, Risk Data Product Manager
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
About the Team
As a Product Manager within the Nexus Risk Data Products organization, you will be joining a team critical to driving the data strategy for the Enterprise Risk Organization (ERO). Our vision is to be the preferred data provider for Enterprise Risk, serving authoritative data products through an intuitive user experience, to power real-time, intelligent risk management. We produce data products that are highly trusted, AI ready, and simpler to manage by centralizing and standardizing data solutions across Enterprise Risk through a modernized data solution.
As a Product Manager in the Nexus Risk Data Products team, you will:<ul><li>
Collaborate with internal and external partners to research, ideate, and deliver reusable data products</li><li>
Apply discovery and research techniques to identify internal customer pain points</li><li>
Break down business epics into features and further into user stories</li><li>
Write acceptance criteria and lead refinement efforts with the engineering team</li><li>
Evaluate and explore new technical approaches to solve customer needs</li><li>
Drive day-to-day prioritization of work, troubleshoot reported issues, and oversee releases</li><li>
Research and troubleshoot data-related issues from the data user communities</li><li>
Conduct data analysis to drive insights into new product features</li></ul>
The successful candidate will have a strong passion for data; possess a high level understanding of a modern cloud-based data ecosystem; understand data producer and consumer needs and paint points; be well versed in data governance concepts; and has a strong technical background.
Capital One Product Framework
In this role, you&rsquo;ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:<ul><li>
Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions</li><li>
Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence</li><li>
Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value</li><li>
Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks</li><li>
Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's or Master&rsquo;s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or Marketing</li></ul></li></ul>
OR<ul><li>
Bachelor's degree in any field and 3 years of Product Management experience</li></ul>
Preferred Qualifications:<ul><li>
Experience translating business strategy and analysis into consumer facing digital products</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization for this position
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $164,800 - $188,100 for Manager, Product Management 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Manager, Risk Data Product Manager
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
About the Team
As a Product Manager within the Nexus Risk Data Products organization, you will be joining a team critical to driving the data strategy for the Enterprise Risk Organization (ERO). Our vision is to be the preferred data provider for Enterprise Risk, serving authoritative data products through an intuitive user experience, to power real-time, intelligent risk management. We produce data products that are highly trusted, AI ready, and simpler to manage by centralizing and standardizing data solutions across Enterprise Risk through a modernized data solution.
As a Product Manager in the Nexus Risk Data Products team, you will:<ul><li>
Collaborate with internal and external partners to research, ideate, and deliver reusable data products</li><li>
Apply discovery and research techniques to identify internal customer pain points</li><li>
Break down business epics into features and further into user stories</li><li>
Write acceptance criteria and lead refinement efforts with the engineering team</li><li>
Evaluate and explore new technical approaches to solve customer needs</li><li>
Drive day-to-day prioritization of work, troubleshoot reported issues, and oversee releases</li><li>
Research and troubleshoot data-related issues from the data user communities</li><li>
Conduct data analysis to drive insights into new product features</li></ul>
The successful candidate will have a strong passion for data; possess a high level understanding of a modern cloud-based data ecosystem; understand data producer and consumer needs and paint points; be well versed in data governance concepts; and has a strong technical background.
Capital One Product Framework
In this role, you&rsquo;ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:<ul><li>
Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions</li><li>
Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence</li><li>
Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value</li><li>
Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks</li><li>
Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's or Master&rsquo;s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or Marketing</li></ul></li></ul>
OR<ul><li>
Bachelor's degree in any field and 3 years of Product Management experience</li></ul>
Preferred Qualifications:<ul><li>
Experience translating business strategy and analysis into consumer facing digital products</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization for this position
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $164,800 - $188,100 for Manager, Product Management 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
164,800.00 - 188,100.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Manager, Risk Data Product Manager

Director, Product Management Operations & AI Enablement - Capital One Software (Remote)

<div><div>Posted Date
6/30/2026
</div><div>Description
<div>Director, Software Engineering (Network Platform Development)
As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Spark, Artifactory, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few.
The Director, Software Engineering (Network Platform Development) will be responsible for Capital One network design and transformation, fundamentally shifting the Network infrastructure towards a proactive, Intent Based Network architecture framework, built on Infrastructure-as-Code principles.This leader will focus on accelerating automation, AI integration, innovation-first engineering discipline and engineering practice maturity.
The Director will be responsible for building and scaling a specialized team focused on automating a complex technology landscape, standardizing engineering configurations, and consolidating overlapping vendor functions. By embedding built-in governance, maximizing technological efficiency, and integrating agentic AI technologies, this leader will drive continuous optimization&mdash;systematically upskilling the team toward advanced automation capabilities. This is a high-impact position for a transformative leader ready to own the network transformation engineering initiative and replace manual operational processes with cutting-edge network development and intelligent automation.
You will:<ul><li>
Lead, manage and grow multiple teams of product focused software engineers</li><li>
Mentor and guide the professional and technical development of engineers on your team.</li><li>
Work with product managers to understand desired application capabilities and testing scenarios</li><li>
Continuously improve software engineering practices</li><li>
Work within and across Agile teams to select, design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies</li><li>
Lead the craftsmanship, availability, resilience, and scalability of your solutions</li><li>
Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal &amp; external technology communities, and mentor other members of the engineering community</li><li>
Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity</li><li>
Work across to improve the velocity of your and other teams</li><li>
Lead efforts to deploy new and existing applications into AWS environments</li><li>
Break existing monolithic applications into micro service architectures and build new microservices</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 7 years&rsquo; experience in software development</li><li>
At least 7 years&rsquo; experience in network engineering and architecture</li><li>
At least 7 years&rsquo; experience in advanced networking concepts in routing, switching and wi-fi</li><li>
At least 5 years&rsquo; experience in people management</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Computer Science or a Master&rsquo;s Degree in Software Engineering</li><li>
10+ years&rsquo; of experience in software development</li><li>
10+ years&rsquo; of experience in advanced networking concepts in routing, switching and wi-fi</li><li>
8+ years&rsquo; of experience in cloud and software-defined networking</li><li>
5+ years&rsquo; of experience in Agile practices</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $269,100 - $307,200 for Director, Software Engineering 

Plano, TX: $244,700 - $279,200 for Director, Software Engineering 

Richmond, VA: $244,700 - $279,200 for Director, Software Engineering 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Director, Software Engineering (Network Platform Development)
As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Spark, Artifactory, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few.
The Director, Software Engineering (Network Platform Development) will be responsible for Capital One network design and transformation, fundamentally shifting the Network infrastructure towards a proactive, Intent Based Network architecture framework, built on Infrastructure-as-Code principles.This leader will focus on accelerating automation, AI integration, innovation-first engineering discipline and engineering practice maturity.
The Director will be responsible for building and scaling a specialized team focused on automating a complex technology landscape, standardizing engineering configurations, and consolidating overlapping vendor functions. By embedding built-in governance, maximizing technological efficiency, and integrating agentic AI technologies, this leader will drive continuous optimization&mdash;systematically upskilling the team toward advanced automation capabilities. This is a high-impact position for a transformative leader ready to own the network transformation engineering initiative and replace manual operational processes with cutting-edge network development and intelligent automation.
You will:<ul><li>
Lead, manage and grow multiple teams of product focused software engineers</li><li>
Mentor and guide the professional and technical development of engineers on your team.</li><li>
Work with product managers to understand desired application capabilities and testing scenarios</li><li>
Continuously improve software engineering practices</li><li>
Work within and across Agile teams to select, design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies</li><li>
Lead the craftsmanship, availability, resilience, and scalability of your solutions</li><li>
Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal &amp; external technology communities, and mentor other members of the engineering community</li><li>
Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity</li><li>
Work across to improve the velocity of your and other teams</li><li>
Lead efforts to deploy new and existing applications into AWS environments</li><li>
Break existing monolithic applications into micro service architectures and build new microservices</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 7 years&rsquo; experience in software development</li><li>
At least 7 years&rsquo; experience in network engineering and architecture</li><li>
At least 7 years&rsquo; experience in advanced networking concepts in routing, switching and wi-fi</li><li>
At least 5 years&rsquo; experience in people management</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Computer Science or a Master&rsquo;s Degree in Software Engineering</li><li>
10+ years&rsquo; of experience in software development</li><li>
10+ years&rsquo; of experience in advanced networking concepts in routing, switching and wi-fi</li><li>
8+ years&rsquo; of experience in cloud and software-defined networking</li><li>
5+ years&rsquo; of experience in Agile practices</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $269,100 - $307,200 for Director, Software Engineering 

Plano, TX: $244,700 - $279,200 for Director, Software Engineering 

Richmond, VA: $244,700 - $279,200 for Director, Software Engineering 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
269,100.00 - 307,200.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Director, Software Engineering (Network Platform Development)

<div><div>Posted Date
6/29/2026
</div><div>Description
<div>Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer 

Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer 

San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 

San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer 

Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer 

San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 

San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
229,900.00 - 262,400.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

<div><div>Posted Date
6/23/2026
</div><div>Description
<div>Manager, Risk Advisor
Do you want to be part of an organization that&rsquo;s dedicated to helping Capital One identify, manage and effectively mitigate risk? Can you build relationships and employ innovative risk management solutions? As a Risk Manager at Capital One, you&rsquo;ll be responsible for working with business partners and various stakeholders to identify and mitigate potential risks. Risk Managers at Capital One are the front line of defense to ensure our Company remains stable and profitable.
The Risk Management Risk (RMR) Office is seeking a highly motivated Risk Advisor to apply their analytical, risk, communication, and project management skills in support of the Risk Tech and Product organizations. In this role, you will oversee several work streams supporting the Risk Tech and Product organizations, including periodic risk assessments and controls testing. You will lead audit and exam requests for the Risk Tech and Product teams by partnering with stakeholders to draft responses, provide evidence, and also perform a quality check over both. You will advise on policy adherence and support end to end remediation activities. As the Business Continuity Lead for Risk Tech, you will facilitate tabletop exercises to support disaster readiness and response efforts and ensure compliance with business continuity requirements.
RMR Risk Advisors combine technical knowledge with the ability to manage and assess risks across cloud-native software platforms. Successful performance of this role includes fostering accountability and collaboration across all stakeholders, both technical and non-technical. You must be comfortable asking tough questions, challenging assumptions, and providing clear, actionable recommendations to ensure risks are properly managed without unnecessary delays. At the same time, you will exercise problem solving and critical thinking skills to continuously improve the risk posture of Risk Tech and Product.
Other Responsibilities Include:<ul><li>
Develop, nurture, and maintain collaborative relationships with our Risk Tech and Risk Product partners and key stakeholders</li><li>
Set direction, manage expectations and lead cross-functional teams via influence</li><li>
Manage internal audits and exams directed to and/or impacting Risk Tech / Risk Product</li><li>
Manage Business Continuity activities for Risk Tech, including Business Continuity Plan updates and tabletop exercises</li><li>
Monitor issue remediation, tracking, and closure</li><li>
Communicate technical issues and risks to both technical and non-technical stakeholders in clear, concise language</li><li>
Engage in routine Risk Assessments, including Process Level Assessments, driving influential outcomes</li><li>
Maintain a proactive stance in escalating risks when necessary and ensure alignment with organizational goals</li><li>
Analyze data within managed work streams to proactively identify risks, trends, and process improvements</li><li>
Provide MBR and other metric inputs as required</li></ul>
Basic Qualifications:<ul><li>
Bachelor's Degree or military experience</li><li>
At least 5 years of experience working in technical audits or technical risk management</li><li>
At least 3 years of experience interacting with internal audit, business continuity, or centralized risk and compliance teams</li></ul> 
Preferred Qualifications:<ul><li>
6+ years of experience working in technical audits or technology risk management</li><li>
4+ years of experience interacting with or engaging with internal audit, business continuity, or centralized risk and compliance teams</li><li>
3+ years of Process Management or Project Management</li><li>
Robust critical thinking skills</li><li>
Excellent problem-solving, written, and verbal communication skills</li><li>
AWS Cloud Practitioner certification
</li><li>Professional security or risk management certifications, such as Certified Information Systems Auditor (CISA), or Certified Risk &amp; Information Systems Control (CRISC)</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $151,900 - $173,400 for Risk Manager 

Richmond, VA: $138,100 - $157,700 for Risk Manager 

Riverwoods, IL: $138,100 - $157,700 for Risk Manager 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Manager, Risk Advisor
Do you want to be part of an organization that&rsquo;s dedicated to helping Capital One identify, manage and effectively mitigate risk? Can you build relationships and employ innovative risk management solutions? As a Risk Manager at Capital One, you&rsquo;ll be responsible for working with business partners and various stakeholders to identify and mitigate potential risks. Risk Managers at Capital One are the front line of defense to ensure our Company remains stable and profitable.
The Risk Management Risk (RMR) Office is seeking a highly motivated Risk Advisor to apply their analytical, risk, communication, and project management skills in support of the Risk Tech and Product organizations. In this role, you will oversee several work streams supporting the Risk Tech and Product organizations, including periodic risk assessments and controls testing. You will lead audit and exam requests for the Risk Tech and Product teams by partnering with stakeholders to draft responses, provide evidence, and also perform a quality check over both. You will advise on policy adherence and support end to end remediation activities. As the Business Continuity Lead for Risk Tech, you will facilitate tabletop exercises to support disaster readiness and response efforts and ensure compliance with business continuity requirements.
RMR Risk Advisors combine technical knowledge with the ability to manage and assess risks across cloud-native software platforms. Successful performance of this role includes fostering accountability and collaboration across all stakeholders, both technical and non-technical. You must be comfortable asking tough questions, challenging assumptions, and providing clear, actionable recommendations to ensure risks are properly managed without unnecessary delays. At the same time, you will exercise problem solving and critical thinking skills to continuously improve the risk posture of Risk Tech and Product.
Other Responsibilities Include:<ul><li>
Develop, nurture, and maintain collaborative relationships with our Risk Tech and Risk Product partners and key stakeholders</li><li>
Set direction, manage expectations and lead cross-functional teams via influence</li><li>
Manage internal audits and exams directed to and/or impacting Risk Tech / Risk Product</li><li>
Manage Business Continuity activities for Risk Tech, including Business Continuity Plan updates and tabletop exercises</li><li>
Monitor issue remediation, tracking, and closure</li><li>
Communicate technical issues and risks to both technical and non-technical stakeholders in clear, concise language</li><li>
Engage in routine Risk Assessments, including Process Level Assessments, driving influential outcomes</li><li>
Maintain a proactive stance in escalating risks when necessary and ensure alignment with organizational goals</li><li>
Analyze data within managed work streams to proactively identify risks, trends, and process improvements</li><li>
Provide MBR and other metric inputs as required</li></ul>
Basic Qualifications:<ul><li>
Bachelor's Degree or military experience</li><li>
At least 5 years of experience working in technical audits or technical risk management</li><li>
At least 3 years of experience interacting with internal audit, business continuity, or centralized risk and compliance teams</li></ul> 
Preferred Qualifications:<ul><li>
6+ years of experience working in technical audits or technology risk management</li><li>
4+ years of experience interacting with or engaging with internal audit, business continuity, or centralized risk and compliance teams</li><li>
3+ years of Process Management or Project Management</li><li>
Robust critical thinking skills</li><li>
Excellent problem-solving, written, and verbal communication skills</li><li>
AWS Cloud Practitioner certification
</li><li>Professional security or risk management certifications, such as Certified Information Systems Auditor (CISA), or Certified Risk &amp; Information Systems Control (CRISC)</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $151,900 - $173,400 for Risk Manager 

Richmond, VA: $138,100 - $157,700 for Risk Manager 

Riverwoods, IL: $138,100 - $157,700 for Risk Manager 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
151,900.00 - 173,400.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Manager, Risk Advisor

<div><div>Posted Date
6/18/2026
</div><div>Description
<div>Principal, Data Scientist - Card Intelligence
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The US Card Data Science organization at Capital One leverages our massive wealth of customer data to drive business strategy and deliver world-class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycle&mdash;including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>
A data guru. &ldquo;Big data&rdquo; doesn&rsquo;t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 1 year of experience working with AWS</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

New York, NY: $176,500 - $201,400 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal, Data Scientist - Card Intelligence
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The US Card Data Science organization at Capital One leverages our massive wealth of customer data to drive business strategy and deliver world-class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycle&mdash;including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>
A data guru. &ldquo;Big data&rdquo; doesn&rsquo;t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 1 year of experience working with AWS</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

New York, NY: $176,500 - $201,400 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
161,800.00 - 184,600.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Principal, Data Scientist - Card Intelligence

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