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Senior Associate, Quantitative Analyst - Model Risk Office

Capital One · Riverwoods, IL · Full time

Posted Aug 20, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time you found a problem in data or a model that others had missed.

What they are checking: Whether they are careful and detail-oriented, which matters in model risk work.

Tell me about a time you explained a technical analysis to non-technical people.

What they are checking: Whether they can communicate complex results clearly to business partners.

What new analytical tool or method have you learned recently, and how did you use it?

What they are checking: Whether they keep learning and apply new skills to their work.

What would you do

A model developer disagrees with your challenge of their model. How do you handle it?

What they are checking: Whether they can defend their analysis respectfully while staying open to new evidence.

You're given a vague request to improve a modeling framework. How do you start?

What they are checking: Whether they can turn an open-ended problem into a clear plan of analysis.

About the work

You'd work with teams on Loan Loss Forecasting and the Allowance for Credit Losses framework. How would you explain CECL to someone new to it?

What they are checking: Whether they understand the basics of lifetime expected loss accounting and its modeling needs.

Walk me through how you'd check whether a loss forecasting model is performing well over time.

What they are checking: Whether they know how to back-test and monitor a model for performance and stability.

What statistical methods would you use to model probability of default?

What they are checking: Whether they have a solid foundation in methods like logistic regression or survival models.

How would you use Python to automate part of a model review process?

What they are checking: Whether they can apply coding to make analytical work faster and more reliable.

How do macroeconomic variables like unemployment affect loan loss forecasts?

What they are checking: Whether they understand how economic conditions drive credit losses.

Practice this interview out loud.

Offer builds a real interview for this exact role at Capital One from your resume and this job description, asks the questions one at a time, and tells you what landed. The first one is free.

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The full job description

As published by Capital One.

Senior Associate, Quantitative Analyst - Model Risk Office 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’ll be part of a team that’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. As part of the Model Risk function, you will partner with high-performing model development teams and model risk teams responsible for advance Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework. Responsibilities and Skills: - Partner with the various lines of business to enhance modeling and analytical framework. - Work across Capital One entities to create novel analytical solutions to the challenging business problems. - Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies. - Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data. - Identify opportunities to apply quantitative methods or machine learning to improve business performance. 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 would possess: - Strong understanding of quantitative analysis methods in relation to financial institutions. - Demonstrated track-record in machine learning and econometric analysis. - Experience utilizing model estimation tools. - Ability to clearly communicate modeling or validation results to a wide range of audiences. - Drive to develop and maintain high quality and transparent model documentation or validation reports. - Strong written and verbal communication skills. - Strong presentation skills. Basic Qualifications: • 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: • 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 1 year of experience in quantitative analytics • At least 1 year of experience in each of the following skills through education or experience: • Statistical or econometric modeling • Linear and logistic regression • Programming in R, Python or SQL • Presenting statistical concepts and research results to non-statistical audience • At least 1 year of experience in at least 3 of the following skills: • Survival analysis modeling • Time-series analysis • Panel data (longitudinal data or cross-sectional time-series data) analysis • Cross-sectional data analysis • Machine learning • Analysis and management of large datasets (>1M records) Preferred Qualifications: • 2 year of experience with Python, R or other statistical analyst software 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: $135,600 - $154,800 for Sr Assoc,Quantitative Analysis Anytown, IL: $123,300 - $140,700 for Sr Assoc,Quantitative Analysis Riverwoods, IL: $123,300 - $140,700 for Sr Assoc,Quantitative 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’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’s Fair Chance Act; Philadelphia’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).

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