Senior Manager, Data Science - Model Risk

Capital One • McLean, VA

2d

About The Position

Capital One’s Model Risk Office defends the company against model failures and finds new ways to improve model-based decisions. The team combines statistics, software engineering, and business expertise to support Risk Management and the broader enterprise, while developing new skills, tools, and trusted partnerships.

The Senior Manager, Data Science will partner with data scientists, software engineers, and product managers to deliver customer-focused products. The role uses technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data. It involves developing machine learning models across the full lifecycle, from design and training through evaluation, validation, and implementation, and translating technical work into business outcomes.

The ideal candidate is a leader who challenges conventional thinking, works with stakeholders to improve the status quo, and supports talent development. They prioritize customer outcomes, keep up with emerging technologies and published methods, and have statistical experience building, validating, and backtesting models. Relevant modeling techniques include clustering, classification, sentiment analysis, time series, and deep learning.

Requirements

• A bachelor's degree in a quantitative field and at least 7 years of experience performing data analytics; or a master's degree in a quantitative field or an MBA with a quantitative concentration and at least 5 years of data analytics experience; or a PhD in a quantitative field and at least 2 years of data analytics experience. The degree may be in progress if it is expected to be obtained on or before the scheduled start date.
• At least 2 years of experience using open-source programming languages for large-scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience using relational databases.

Nice To Haves

• A PhD in a STEM field plus at least 4 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 1 year of experience managing people.
• At least 5 years of experience using Python, Scala, or R for large-scale data analysis.
• At least 5 years of experience with machine learning.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver a product customers love.
• Use technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data.
• Build machine learning models through design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals.
• Work with stakeholders to identify and improve the status quo.
• Support talent development for the team and beyond.
• Research and evaluate emerging technologies and seek opportunities to apply current methods.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior