Qureos Mentor

Capital One

<div>Sr. Business Analyst, Partnerships Bass Pro Shops and Cabela's Vertical Team
Summary: As a Senior Business Analyst at Capital One, you will apply your strategic and analytical skills to major company challenges. You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
The Bass Pro Shops and Cabela's team manages our co-branded CLUB credit card. We are looking for a Senior Business Analyst to drive strategy and analysis for our CLUB vertical team. In this role, you will analyze portfolio trends; partner with internal and external stakeholders to drive improvements in program performance and customer experience; and lead planning, implementation, and monitoring efforts across a variety of strategic initiatives.
General Responsibilities:<ul><li>
Analysis: Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations</li><li>
Product: Perform modeling/analytics to assist new product and initiatives for various lending products</li><li>
Marketing: Support direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Help build targeted insights to inform the design and development/improvement customer experiences, as well as breakthrough technology and concepts designed to deliver on new go to market strategies</li><li>
Credit Risk: Support step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis</li><li>
Execution: Involve problem frameworks, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan</li><li>
Partnership: Work closely with colleagues across Capital One including: Tech, Operations, Finance, Risk, Compliance and others to drive improvements and optimization.</li><li>
Strategic &amp; analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing &amp; credit risk management</li><li>
Strong business judgment, leadership and integrity:Should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business</li><li>
Strong communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills</li><li>
Clear results orientation: display an intense focus on achieving both short and long term goals. Should be able to drive and execute an agenda in an uncertain and fluid environment</li><li>
Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)</li><li>
At least 1 year of experience in analysis</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering</li><li>
1+ years of experience in Statistical model building</li><li>
1+ years of experience in market research</li><li>
1+ years of experience in SQL querying</li><li>
2+ years of experience in business analysis</li><li>
1+ years of experience in consulting</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.
Chicago, IL: $101,100 - $115,400 for Sr. Business Analyst 

McLean, VA: $111,200 - $126,900 for Sr. Business 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>

Sr. Business Analyst, Partnerships Bass Pro Shops and Cabela's Vertical Team

<div>Senior Manager, Data Scientist - Applied AI
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 Card Genesis team builds and ships state-of-the-art Gen AI models that serve as the intelligence for Capital One&rsquo;s US Card business. We are the driving force behind AI in Payments, architecting custom solutions for time-series sequencing, natural language, and agentic reasoning at a massive scale.
We partner with product, tech, and design teams to deliver next-generation applications that redefine how 80+ million customers interact with their finances. You will work with a seasoned group of AI/ML specialists, experimenting with emerging technologies in Generative AI to bridge the gap between world-class research and real-world production. As a key member of this team, you will contribute to the global AI community while delivering the software that powers the future of the global payments ecosystem.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money.</li><li>
Leverage a broad stack of technologies&mdash;Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more&mdash;to reveal the insights hidden within huge volumes of numeric, textual, and sequential transaction data.</li><li>
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs) and Transformer-based architectures, adapting and fine-tuning them for customer-facing applications and features.</li><li>
Build Gen AI and Sequence models through all phases of development, from design and pre-training through evaluation and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.</li><li>
Flex your interpersonal skills to translate the complexity of your work&mdash;including model explainability and architectural trade-offs&mdash;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 advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.</li><li>
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.</li><li>
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.</li><li>
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.</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 7 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 5 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) plus 2 years of experience performing data analytics</li></ul></li><li>
At least 2 years of experience leveraging open source programming languages for large scale data analysis</li><li>
At least 2 years of experience working with machine learning</li><li>
At least 2 years of experience utilizing relational databases</li></ul>
Preferred Qualifications:<ul><li>
PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience managing people</li><li>
At least 5 years&rsquo; experience in Python, Scala, or R for large scale data analysis</li><li>
At least 5 years&rsquo; experience with machine learning</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 Mgr, Data Science 

New York, NY: $250,800 - $286,200 for Sr Mgr, 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>

Senior Manager, Data Scientist - Applied AI

<div>Senior Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What you&rsquo;ll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.</li><li>
Retrain, maintain, and monitor models in production.</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models.</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.</li><li>
Use programming languages like Python, Scala, or Java.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)</li><li>
At least 3 years of experience designing and building data-intensive solutions using distributed computing</li><li>
At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)</li><li>
At least 1 year of experience productionizing, monitoring, and maintaining models</li></ul>
Preferred Qualifications:<ul><li>
1+ years of experience building, scaling, and optimizing ML systems</li><li>
1+ years of experience with data gathering and preparation for ML models</li><li>
2+ years of experience developing performant, resilient, and maintainable code</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
3+ years of experience with distributed file systems or multi-node database paradigms</li><li>
Contributed to open source ML software</li><li>
Authored/co-authored a paper on a ML technique, model, or proof of concept</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer 

McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer 

Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer 

Richmond, VA: $147,100 - $167,900 for Senior Machine Learning 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>

Senior Machine Learning Engineer

<div>Senior Data Engineer (Python, Spark, AWS)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? 
 
At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
New York, NY: $176,500 - $201,400 for Senior Data 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>

Senior Data Engineer (Python, Spark, AWS)

<div>Senior Data Engineer (Python, PySpark, Lambda)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
Cambridge, MA: $161,800 - $184,600 for Senior Data Engineer 

McLean, VA: $161,800 - $184,600 for Senior Data Engineer 

Richmond, VA: $147,100 - $167,900 for Senior Data 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>

Senior Data Engineer (Python, PySpark, Lambda)

<div>Senior Data Analyst - Audit
Senior Data Analyst
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. 
On any given day you will be challenged by 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>
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)</li><li>
Experience utilizing and developing within Snowflake 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 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
 At least 1 year of experience working with at least one scripting language</li><li>
 At least 1 year of experience utilizing business intelligence visualization tool</li><li>
 At least 1 year of experience 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 2 years of experience coding in Python, R, Spark, or SQL</li><li>
At least 2 years of experience working within process management and improvement methodologies &ndash; Agile, Lean, Six Sigma, etc.</li><li>
At least 1 year of experience utilizing and developing within AWS services</li><li>
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)</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: $111,200 - $126,900 for Sr. Data Analyst 

Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst 

New York, NY: $121,300 - $138,400 for Sr. 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>

Senior Data Analyst - Audit

<div>Senior Cyber Technical Engineer
Do you thrive on outsmarting vulnerabilities and engineering defense-in-depth at scale? At Capital One, we&rsquo;re looking for security-focused pioneers to join a team of disruptors dedicated to protecting our software supply chain. We are seeking Cyber Technical Engineers to build automated, enterprise-grade guardrails&mdash;specifically focusing on advanced secrets scanning solutions and third-party JavaScript analysis&mdash;to secure our software supply chain against emerging threats. If you&rsquo;re passionate about treating security as code and want to lead a major transformation in how we proactively defend our digital perimeter, we want to meet you.
General Responsibilities:<h3 class="jobSectionHeader">
1. Advanced Programming &amp; Automation</h3><ul><li>
Python Proficiency: Build performant, concurrent backend services, APIs, and sophisticated automation scripts to power our security platforms.</li><li>
Data Proficiency: Design, implement, and optimize data storage and retrieval in SQL databases, including PostgreSQL and Snowflake.</li><li>
Operational Scripting: Expert-level Bash/Shell scripting for deep pipeline integration and automating complex operational workflows.</li><li>
Distributed Systems: Apply strong troubleshooting and debugging skills across complex, distributed architectures to ensure high availability of security services.</li></ul><h3 class="jobSectionHeader">
2. Secrets Discovery &amp; Prevention Strategy</h3><ul><li>
Tooling Excellence: Configure, scale, and operationalize industry-leading secrets detection tools (e.g., TruffleHog, Gitleaks) across the entire codebase and Infrastructure-as-Code (IaC) repositories.</li><li>
Shift-Left Implementation: Design and implement developer-facing prevention mechanisms, including pre-commit and pre-receive hooks, to stop credential leaks before they reach the server.</li><li>
Continuous Improvement: Monitor detection efficacy and refine rulesets to minimize false positives while maximizing coverage.</li></ul><h3 class="jobSectionHeader">
3. Strategic Initiative &amp; Project Delivery</h3><ul><li>
End-to-End Ownership: Drive complex technical initiatives from ideation to full delivery, leveraging a deep understanding of cybersecurity practices and software engineering principles.</li><li>
Agile Execution: Navigate high-visibility, high-impact enterprise projects using Agile frameworks, ensuring superior results across planning, development, testing, and deployment.</li><li>
Requirement Management: Lead the technical requirements gathering and design phases for large-scale security solutions that impact cross-functional teams.</li></ul><h3 class="jobSectionHeader">
4. Leadership, Influence &amp; Stakeholder Engagement</h3><ul><li>
Collaborative Partnerships: Foster open, productive relationships with internal technology groups, stakeholders, and external vendors.</li><li>
Executive Communication: Translate complex technical data into clear, actionable insights for diverse audiences, including the ability to influence leadership decisions.</li><li>
Cross-Team Alignment: Author high-quality Technical Design Documents (TDDs) for new features and platform integrations to ensure technical clarity across the organization.</li></ul><h3 class="jobSectionHeader">
5. DevSecOps Empathy &amp; Mindset</h3><ul><li>
Product-Focused Security: Approach security tooling with a &quot;Developer Experience&quot; (DevEx) first mindset. The secure workflow must be the easiest workflow.</li><li>
Operational Excellence: Participate in and manage on-call rotations, maintaining a high standard of reliability for the tools you build.</li><li>
Cultural Catalyst: Act as a champion for security, fostering rapid adoption of tools by reducing friction for engineering teams.</li></ul>
Basic Qualifications:<ul><li>
High School Diploma, GED or equivalent certification</li><li>
At least 3 years of experience working in cybersecurity or information technology</li><li>
At least 3 years of experience in application security</li><li>
At least 3 years of experience with Python, Shell Scripting, SQL databases, DevOps or DevSecOps tooling</li></ul>
Preferred Qualifications:<ul><li>
Bachelors degree</li><li>
4+ years of experience with Cyber security technologies dynamic application security testing, penetration testing, risk analysis, or software testing techniques</li><li>
One of the following cybersecurity certifications: OSCP, CISSP, CEH</li><li>
4+ years of experience architecting, securing, and operating Amazon Web Services</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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 Prin Assoc, Cyber Technical 

Plano, TX: $147,100 - $167,900 for Prin Assoc, Cyber Technical 

Richmond, VA: $147,100 - $167,900 for Prin Assoc, Cyber Technical 
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>

Senior Cyber Technical Engineer

Join Capital One and explore 20   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.