Senior Manager, Data Science - Model Risk

Capital One • McLean, VA

7d • $209,000 - $286,200

About The Position

The Senior Manager, Data Science works in Capital One’s Model Risk Office, which protects the company against model failures and improves model-driven decisions across Risk Management and the Enterprise. The role partners with data scientists, software engineers, and product managers to deliver customer-focused products and applies statistical, software engineering, and business expertise to complex model risk challenges.

The position uses technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data. It builds machine learning models throughout the development lifecycle, from design and training through evaluation, validation, and implementation, and translates complex analytical work into business goals. The role also calls for leadership, stakeholder engagement, talent development, customer-focused decision-making, and ongoing evaluation of emerging methods and technologies.

Requirements

• A bachelor's degree in a quantitative field plus 7 years of experience performing data analytics; or a master's degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of data analytics experience; or a PhD in a quantitative field plus 2 years of data analytics experience.
• 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.
• Experience building, validating, and backtesting models, and interpreting confusion matrices or ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.

Nice To Haves

• A PhD in a STEM field plus 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 customer-focused products.
• 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 analytical work into tangible business goals.
• Challenge conventional thinking and work with stakeholders to improve the status quo.
• Support talent development within the team and beyond.
• Research and evaluate emerging technologies and identify opportunities to apply state-of-the-art 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