Principal Associate, Data Scientist, Model Risk Office

Full-time - Mid Level

Mclean, VA

Credit Intermediation and Related Activities

About the position

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, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist 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 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. In Capital One's Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can't prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes, and develop increasingly powerful techniques to avoid their repetition.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
• Leverage a broad stack of technologies - Python, Conda, AWS, Spark, and more - to reveal the insights hidden within data
• Build statistical/machine learning models to challenge 'champion models' that are deployed in production today
• Contribute to the model governance of the next generation of machine learning models
• Flex your interpersonal skills to present how model risks could impact the business to executives

Requirements

• Currently has, or is in the process of obtaining a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date
• At least 1 year of experience in open source programming languages for large scale data analysis
• At least 1 year of experience with machine learning
• At least 1 year of experience with relational databases

Nice-to-haves

• Master's Degree in 'STEM' field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics)
• At least 1 year of experience building or validating models for financial services
• At least 1 year of experience working with AWS
• At least 3 years' experience in Python, Scala, or R
• At least 3 years' experience with machine learning
• At least 3 years' experience with SQL

Benefits

• Comprehensive health benefits
• Financial benefits
• Inclusive set of benefits that support total well-being