Senior Associate, Quantitative Analyst - Model Risk Office

About the role

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 advancing Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework.

Responsibilities

• Partner with the various lines of business to enhance modeling and analytical framework.
• Work across Capital One entities to create novel analytical solutions to 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.
• Clearly communicate modeling or validation results to a wide range of audiences.
• Develop and maintain high-quality and transparent model documentation or validation reports.

Qualifications

Basic Qualifications

• Currently has, or is in the process of obtaining one of the following (required degree must 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)
  • 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 a 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 years of experience with Python, R, or other statistical analyst software

Pay

The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based on the agreed-upon number of hours to be regularly worked.

• McLean, VA: $135,600 - $154,800
• Anytown, IL: $123,300 - $140,700
• Riverwoods, IL: $123,300 - $140,700

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 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.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website.