quantitative associate

JPMorganChase

<div>JOB DESCRIPTION 
The FX Quantitative Trading team in New York is a dynamic team who are responsible for the coordination with the larger team to determine the desk's profitability. This team covers a wide range of responsibilities, including designing, trading and execution strategies.
Job summary:
As a Analyst or Associate within Quantitative Trading &amp; Research (QTR) FX Quantitative Trading team, you will work as part of the QTR front-office team on the trading floor in New York. Given the dynamic nature of the environment, this role is tailored for an individual who is responsible, independent and able to work in smooth coordination with the larger team to determine the desk's profitability. You will get a chance to cover a wide range of responsibilities, these include designing trading and execution strategies; researching micro-patterns and trends; building, maintaining and upgrading applications &amp; tools; supporting day-to-day operation.
Job responsibilities:<ul><li>
Create/modify/implement algorithmic orders to execute on behalf of clients as well as internal manual traders</li><li>
Work closely with technology to develop cutting edge low latency infrastructure that meets business needs in a scalable manner</li><li>
Intelligently utilize internal and non-public sources of liquidity to minimize the impact of algorithmic order execution</li><li>
Create generic and bespoke post-trade transaction cost analysis models and reports for evaluation algorithmic order executions</li><li>
Create pre-trade transaction cost analysis to help clients choose algorithmic orders for appropriate execution</li><li>
Perform statistical analysis of algorithmic order execution for internal use and to drive iterative improvements</li><li>
Understands firm's approach and policies for managing risks in relevant business and applicable legal and regulatory rules, and follows policies</li></ul>
Required qualifications, capabilities, and skills:<ul><li>
Demonstrate an interest in market microstructures and quantitative trading.</li><li>
Demonstrate design and programming skills, with a primary focus on object-oriented programming languages (C++, Java, C#, etc.) and Python.</li><li>
Show an interest in applying agile development practices in a front-office trading environment.</li><li>
Exhibit excellent verbal and written communication skills, as this position involves frequent interaction with different teams in the firm and many non-technical users.</li><li>
Think strategically and creatively when faced with problems and opportunities. Eagerly look for new ways of doing things and understand the benefits of leveraging the firm&rsquo;s scale.</li><li>
Demonstrate understanding in different types of risk and discuss in detail ways of managing these risks.</li><li>
Communicate concepts and ideas, both verbally and via documentation, and defend their validity while targeting messages to different audiences.</li></ul>
Preferred qualifications, capabilities, and skills:<ul><li>
Degree in Engineering, Mathematics, Physics, Computer Science (or equivalent)</li><li>
Direct experience of agile software methodologies.</li><li>
Demonstrate macro markets experience and general trading concepts and terminology
</li><li>Demonstrate experience of working with electronic venues</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Quantitative Trading & Research - FX Quantitative Trading - Associate

<div>JOB DESCRIPTION 
Join a team that uncovers stories in data to guide major investments and delight clients, who is curious and passionate to transform data, and impact drive business breakthroughs!
As a Quant Analytics Associate, within the Voice Product Analytics team, you will use data analytics to improve customer experience, reduce operating expenses, and work on key initiatives, document data lineage, scope analyses, develop data, form hypotheses, analyze data, generate insights, and present findings.
Job Responsibilities:<ul><li>
Analyze and manage IVR/NLU performance metrics and customer feedback to identify cross-channel((calls, branch, digital, etc.) trends, issues, and improvement opportunities.</li><li>
Contribute to business cases, design A/B tests, identify pilot populations, and analyze program performance to inform future strategies.</li><li>
Collaborate with data owners to govern data generation, definition, and retention.</li><li>
Prioritize and manage Voice-IVR analytics tasks while independently identifying and implementing customer experience improvements.</li><li>
Support preparing and delivering presentations with clear insights for executives and business partners and build understanding of business drivers and data with product groups.</li><li>
Write and maintain code in Alteryx, SQL, Tableau, and Python and structure and execute KPIs, trend analyses, dashboards, segmentations, and optimizations to improve performance.</li><li>
Continuously assess the current IVR experience, identifying pain points and implementing enhancements to optimize customer satisfaction and proactively seek and evaluate new technologies, processes, and features that can further enhance the IVR system and overall customer experience.</li></ul>
Required qualifications, capabilities, and skills:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (Data Science, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related); 3+ years of experience applying statistical methods to real-world problems using SQL and at least one of: Alteryx, Python, Tableau.</li><li>
Hands on experience with data visualization for analysis and presentation.</li><li>
Strong mathematical/statistical skills using Alteryx, Python, SQL, Tableau.</li><li>
Robust analytical skills to collect, organize, analyze, and present large amounts of information accurately.</li></ul>
Preferred qualifications, skills and capabilities<ul><li>
Experience with cloud services (Azure, AWS, etc.).</li><li>
Experience in financial services or similar industries.</li><li>
Strong grasp of big data disciplines, AWS, Agile (Scrum), and new technologies.</li><li>
Prior experience in an insights function at a financial services or consulting firm.</li></ul>
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Voice Product Analytics Team - Senior Quantitative Analytics Associate

Goldman Sachs

<div>
 
 Job Description
 
 
 
 
 Asset &amp; Wealth Management &ndash; Associate Quantitative Strategist in Wealth Management Strats
 
 
 
 Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
 
 
 
 Responsibilities
 
 
 
 As a strategist on our PWM Risk Strats team, you will work closely with various teams including risk management and fraud strategy . You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.
 
 
 
 Responsibilities Include
 
 
 
 <ul>
 <li>
 Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement
 </li>
 <li>
 Delivering risk metrics and quantitative analytics for financial and non-financial risks across wealth management
 </li>
 <li>
 Develop AI-led solutions to improve efficiency and accuracy in risk management.
 </li>
 <li>
 Building and maintaining robust and systematic risk management tools and reporting
 </li>
 <li>
 Collaborating on the design of new and existing strategies to address clients&rsquo; investment goals.
 </li>
 <li>
 Developing and maintaining risk management and portfolio analysis tools across multiple asset classes for senior management and portfolio managers.
 </li>
 <li>
 Building and maintaining infrastructure of Strategists&rsquo; analytical systems.
 
 
 </li>
 </ul>
 
 About Goldman Sachs Wealth Management
 
 
 
 Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering
 </li>
 <li>
 1-3 years of experience in the job offered or related quantitative financial modeling and software development positions
 </li>
 <li>
 Programming and mathematical skills are required
 </li>
 <li>
 Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences
 </li>
 <li>
 A self-starter, should have ability to work independently as well as thrive in a team environment
 </li>
 <li>
 Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus
 </li>
 <li>
 Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark
 </li>
 <li>
 Experience with prompt engineering, working with LLM models, and MCP.
 </li>
 <li>
 Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 
 ABOUT GOLDMAN SACHS
 
 
 
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
 
 
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 
 
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
 
 &copy; The Goldman Sachs Group, Inc., 2021. All rights reserved.
 
 
 Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
 
 
 
 Salary Range
 
 
 
 The expected base salary for this New York, New York, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
 
 
 
 Benefits
 
 
 
 Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .
</div>

Asset & Wealth Management-Quantitative Engineering-New York-Associate

Information Technology Senior Management Forum

<div><div>Posted Date
3/19/2026
</div><div>Description
<div>Principal Associate, Quantitative Analysis - Investment Portfolio Team
At Capital One 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 Quantitative Analyst 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 cloud 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.
This position offers a unique opportunity to be a part of the dynamic Finance organization at Capital One. The Finance organization has been on a technology journey seeking to find ways to leverage technology to drive deeper insights and make the complex simple. We are looking for candidates to help enhance deep learning model architecture and develop and deploy fixed income valuation systems using modern platforms.
Responsibilities:<ul><li>
Advanced Model Development: Partner with various lines of business to develop, enhance, and deploy advanced finance models, such as fixed income models (e.g., mortgage prepayment)</li><li>
AI/ML Innovation: Design and implement novel analytical solutions, applying neural networks, deep learning, and transformer architectures to solve challenging business problems across Capital One entities</li><li>
LLM and Agentic Workflows: Identify and execute opportunities to apply Large Language Models (LLMs) and agentic workflows to improve business performance and process efficiencies</li><li>
End-to-End ML Ownership: Take full ownership of the end-to-end ML model development and deployment process, from conceptualization and data engineering through model development, validation, and production deployment</li><li>
Cloud-Based Solutions: Collaborate with a cross-disciplinary team to build and scale cloud-based solutions using modern platforms like Kubernetes and Kubeflow</li><li>
Quantitative Strategy: Identify opportunities for quantitative methods and automation solutions to enhance business performance and optimize complex financial processes</li><li>
Communication &amp; Collaboration: Clearly and concisely communicate complex technical subject matter and critical insights to a diverse audience, including executive stakeholders</li></ul>
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates will possess:<ul><li>
Deep understanding of quantitative modeling in relation to finance and investment portfolio modeling principles.</li><li>
Extensive experience in Python or other object-oriented language</li><li>
Ability to clearly communicate modeling results to a wide range of audiences</li><li>
Drive to develop and maintain high quality and transparent model documentation</li><li>
Strong written and verbal communication skills</li><li>
Strong presentation skills</li><li>
Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring</li><li>
Knowledge of derivative instruments and experience with derivatives modeling</li><li>
Behavior modeling (prepayment or default) experience for complex fixed income products or loans (mortgage/auto/card)</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Master&rsquo;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 in quantitative 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><ul><li>
At least 3 years of experience in each of the following skills through education or experience:<ul><li>
Statistical or econometric modeling</li><li>
Linear and logistic regression</li><li>
Programming in R, Python or SQL</li><li>
Presenting statistical concepts and research results to non-statistical audience</li></ul></li></ul><ul><li>
At least 3 years of experience in at least 3 of the following skills:<ul><li>
Survival analysis modeling</li><li>
Time-series analysis</li><li>
Panel data (longitudinal data or cross-sectional time-series data) analysis</li><li>
Cross-sectional data analysis</li><li>
Machine learning</li><li>
Analysis and management of large datasets (&gt;1M records)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
At least 4 years of experience with Python, R or other statistical analyst software</li><li>
At least 2 years of experience in machine learning</li><li>
At least 1 year of hands-on model deployment experience</li><li>
At least 1 year of experience developing agentic workflows</li><li>
At least 1 year of experience using, fine-tuning, or deploying Large Language Models (LLMs)</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 Prin Assoc, Quant Analysis 
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 Associate, Quantitative Analysis - Investment Portfolio Team
At Capital One 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 Quantitative Analyst 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 cloud 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.
This position offers a unique opportunity to be a part of the dynamic Finance organization at Capital One. The Finance organization has been on a technology journey seeking to find ways to leverage technology to drive deeper insights and make the complex simple. We are looking for candidates to help enhance deep learning model architecture and develop and deploy fixed income valuation systems using modern platforms.
Responsibilities:<ul><li>
Advanced Model Development: Partner with various lines of business to develop, enhance, and deploy advanced finance models, such as fixed income models (e.g., mortgage prepayment)</li><li>
AI/ML Innovation: Design and implement novel analytical solutions, applying neural networks, deep learning, and transformer architectures to solve challenging business problems across Capital One entities</li><li>
LLM and Agentic Workflows: Identify and execute opportunities to apply Large Language Models (LLMs) and agentic workflows to improve business performance and process efficiencies</li><li>
End-to-End ML Ownership: Take full ownership of the end-to-end ML model development and deployment process, from conceptualization and data engineering through model development, validation, and production deployment</li><li>
Cloud-Based Solutions: Collaborate with a cross-disciplinary team to build and scale cloud-based solutions using modern platforms like Kubernetes and Kubeflow</li><li>
Quantitative Strategy: Identify opportunities for quantitative methods and automation solutions to enhance business performance and optimize complex financial processes</li><li>
Communication &amp; Collaboration: Clearly and concisely communicate complex technical subject matter and critical insights to a diverse audience, including executive stakeholders</li></ul>
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates will possess:<ul><li>
Deep understanding of quantitative modeling in relation to finance and investment portfolio modeling principles.</li><li>
Extensive experience in Python or other object-oriented language</li><li>
Ability to clearly communicate modeling results to a wide range of audiences</li><li>
Drive to develop and maintain high quality and transparent model documentation</li><li>
Strong written and verbal communication skills</li><li>
Strong presentation skills</li><li>
Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring</li><li>
Knowledge of derivative instruments and experience with derivatives modeling</li><li>
Behavior modeling (prepayment or default) experience for complex fixed income products or loans (mortgage/auto/card)</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Master&rsquo;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 in quantitative 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><ul><li>
At least 3 years of experience in each of the following skills through education or experience:<ul><li>
Statistical or econometric modeling</li><li>
Linear and logistic regression</li><li>
Programming in R, Python or SQL</li><li>
Presenting statistical concepts and research results to non-statistical audience</li></ul></li></ul><ul><li>
At least 3 years of experience in at least 3 of the following skills:<ul><li>
Survival analysis modeling</li><li>
Time-series analysis</li><li>
Panel data (longitudinal data or cross-sectional time-series data) analysis</li><li>
Cross-sectional data analysis</li><li>
Machine learning</li><li>
Analysis and management of large datasets (&gt;1M records)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
At least 4 years of experience with Python, R or other statistical analyst software</li><li>
At least 2 years of experience in machine learning</li><li>
At least 1 year of hands-on model deployment experience</li><li>
At least 1 year of experience developing agentic workflows</li><li>
At least 1 year of experience using, fine-tuning, or deploying Large Language Models (LLMs)</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 Prin Assoc, Quant Analysis 
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 Associate, Quantitative Analysis - Investment Portfolio Team

Capital One

<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
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 Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
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>
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>
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></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 Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</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><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</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: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 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>

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

<div><div>Posted Date
3/18/2026
</div><div>Description
<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
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 Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
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>
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>
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></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 Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</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><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</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: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 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 Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
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 Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
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>
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>
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></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 Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</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><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</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: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 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
147,100.00 - 167,900.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

KeyBank

Location: 
For Those Who Work At Home, Ohio
 
ABOUT THE JOB (JOB BRIEF)
 Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Often large in scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.
 
ESSENTIAL JOB FUNCTIONS
 Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
 Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis
 Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
 Use critical thinking to use the right approach for each problem statement
 Anticipate business need and make continuous improvements to models and processes
 
REQUIRED QUALIFICATIONS
 Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 2 years of relevant experience; 1 with Master’s or PhD
 
DATA LITERACY
 Understanding of and ability to: Create data structures / transformations
 Identify and capture different types of information for business needs or necessary for analysis
 Data controls
 Hypothesis testing / root-cause analysis
 Leverage and anticipate considerations in implementation
 
TECHNOLOGY & TECHNIQUES
 Advanced Microsoft Office Suite
 SQL/NoSQLRelationship data structure
 Selecting and retrieving data including unstructured data retrieval, archival, and ETL
 Databases
 
Advanced Python/R/SAS: Databases
 Efficient coding
 Can build strong code controls and translate code into high-level commentary
 
Understanding of and ability to leverage: Cloud-based computing
 Distributed computing
 
MODEL BUILDING & MAINTENANCE
 Understanding of: Model use, requirements, and implementation needs
 Model Risk Management process and foundations
 Testing for deterioration and model health
 Scale and fundamental concepts of Machine Learning
 How statistical measurements are used
 Advanced data techniques for modeling frameworks
 
Ability to: Produce and identify information through statistical analysis
 Effectively explain model insights to peers and analytics community
 Identify preferred approach given the problem statement
 
EXPECTED COMPETENCIES
 Leadership: Some self-direction, likely will need some guidance and supervision; Starting to anticipate possible business problems – improving something that already exists
 Partnering / Influencing: Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or “working group” level; Building influencing skills; demonstrated in area of expertise or assigned LOB
 Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts
 Critical Thinking / Problem Solving: Demonstrates critical thinking; Analyzes, identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the “why” question; Starting to understand impacts / intersections with others
 Communication: Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills
 
COMPENSATION AND BENEFITS
 This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
 Please click here for a list of benefits for which this position is eligible.
 
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
 
Job Posting Expiration Date: 04/17/2026
 
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
 Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
 
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