Principal Quantitative Modeler

About the role

As a Quantitative Modeler 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.

This position is part of Capital One’s Credit Risk Management Modeling team. In this team, we use multiple cloud-based open-sourced technologies to develop econometric and machine learning models and analytics to predict and generate insight into Capital One’s risk and capital needs. We blend cutting-edge quantitative methods with deep understanding of our business, data, and regulatory environment to build predictive models for credit and operational losses, volumes, and outstanding balances in support of loss forecasting, CECL/allowance, stress testing, and capital allocation for Capital One. Our models and analyses inform earnings call prep, vertical resilience, and downturn preparedness initiatives.

In this position, you’ll be part of a team tasked with ushering in the next wave of disruption to predictive modeling—using technology to build and deploy models and solutions leveraging new data sources to provide powerful new insights about our portfolio resilience and opportunities.

Responsibilities

• Partner with the various lines of business to enhance modeling and analytical frameworks.
• 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.
• Apply deep expertise in econometric, statistical, and machine learning methods to generate critical insights and decision frameworks for our business and customers.
• Provide technical guidance to business leadership.
• Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
• Fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.

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) or an MBA with a quantitative concentration plus 3 years of experience in quantitative analytics.
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field).
• At least 3 years 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 3 years 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

• 4 years of experience with Python, R, or other statistical analyst software.
• 4 years of experience manipulating and analyzing large data sets.

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. 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.

• McLean, VA: $161,800 - $184,600 for Principal Associate, 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.

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.