Capital One
Financial Services
Manager,DataScientist-ModelRiskOffice
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“Manager, Data Scientist - Model Risk Office at Capital One. Skills: Model Risk, Machine Learning, Statistical Modeling. Partner with cross-functional team. Deliver a product customers love”
What You'll Achieve.
Safeguarding company from model failures; Enhancing decision-making through models
Industry & Context.
Defining big problems; Finding answers
What They're Looking For.
Must Have
Bachelor's Degree in quantitative field plus 6 years experience, Master's Degree in quantitative field plus 4 years experience, PhD in quantitative field plus 1 year experience, 1 year experience leveraging open source programming, 1 year experience working with machine learning, 1 year experience utilizing relational databases
Nice to Have
PhD in STEM field plus 3 years experience, 3 years experience in data analytics, 3 years experience in financial modeling, 3 years experience in financial model validation, 1 year experience working with AWS, 4 years experience in Python, Scala, or R, 4 years experience with statistical modeling, 4 years experience with machine learning, 4 years experience with SQL
What You'll Do.
Partner with cross-functional team
Deliver a product customers love
Leverage technologies to reveal insights
Validate statistical models
Build statistical models
Validate machine learning models
Build machine learning models
Translate complexity into business goals
How You'll Work.
Team & Collaboration
Cross-functional team; Data scientists; Software engineers; Product managers
Communication Scope
Translate complexity
Full Job Description
Manager, 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. **Team Description** The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. **Role Description** **In this role, you will:** * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Validate and build statistical or machine learning models through all phases of development, from design through training, evalu
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