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. Today, this innovation and our passion for data have positioned us as a Fortune 200 company and a leader in data-driven decision-making.

As a Quantitative Analyst at Capital One, you’ll be part of a team leading the next wave of disruption at scale, using cloud computing and machine learning across billions of customer records to unlock opportunities that help everyday people save money, time, and agony in their financial lives.

Within the Model Risk function, you will partner with high-performing model development teams responsible for advancing Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework.

Responsibilities

• Partner with various lines of business to enhance modeling and analytical frameworks.
• Work across Capital One entities to create novel analytical solutions for challenging business problems.
• Identify opportunities to apply quantitative methods and automation 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, transparent model documentation or validation reports.

Qualifications

Basic Qualifications

• Currently has, or is in the process of obtaining, one of the following (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), 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 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 analysis software.

Skills

• 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.
• Strong written and verbal communication skills.
• Strong presentation skills.
• Drive to innovate and maintain high standards of excellence.

Pay

The annual full-time salary ranges for this role are listed below by location. Part-time salaries will be prorated based on agreed-upon hours.

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

Candidates hired in other locations will be subject to the pay range associated with that location. This role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

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.