Principal Associate, Data Scientist, Model Risk Office
Capital One
Job Description
About the Role
Principal Associate, Data Scientist, Model Risk Office 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.
Key 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
- Present how model risks could impact the business to executives
Requirements
- Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field) plus 5 years of experience performing data analytics
- Or a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- Or a PhD in a quantitative field plus 3 years of experience performing data analytics
- Experience with open-source languages and developing data science solutions using open-source tools and cloud platforms
- Experience with statistical modeling, validation, and backtesting
- Knowledge of clustering, classification, sentiment analysis, time series, and deep learning
- Experience with retrieving, combining, and analyzing data from various sources and structures
Nice to Have
- 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
Qualifications
- Bachelor's, Master's, or PhD in a quantitative field or related degree
- Experience in data analytics and machine learning
Benefits & Perks
- Competitive and inclusive set of health, financial, and other benefits
- Performance-based incentive compensation, including cash bonuses and long-term incentives
- Hybrid work model with three days in the office per week
- Salary ranges based on location, with specific figures provided for McLean, VA, and Richmond, VA
Working at Capital One
Capital One promotes a diverse, inclusive, and innovative work environment, emphasizing continuous learning, technological advancement, and responsible risk management.
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About Capital One
Website
capitalone.com
Location
Richmond, VA
Industry
Commercial Banking
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