Senior Associate, Quantitative Analyst - Model Risk Office

Capital One•McLean, VA

4d•$123,300 - $140,700

About The Position

At Capital One, data is central to 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, which was cutting-edge technology in 1988. Fast-forward a few years, and this innovation and our passion for data have propelled us to a Fortune 200 company and a leader in data-driven decision-making. As a Quantitative Analyst at Capital One, you will be part of a team leading the next wave of disruption at a new scale, utilizing the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock significant 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.

Requirements

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.
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).

Nice To Haves

2 year of experience with Python, R or other statistical analyst software

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.