Principal Associate, Data Scientist
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. Team Description As a Data Scientist at the Retail and Direct Bank, you’ll be part of a high performing modeling and analytics team that is on a mission to define the next generation of banking. The Bank team has a relentless focus on the craft of statistical modeling and innovation with a target towards continually improving decision making and delivering value to the business. Role Description This role offers a unique opportunity to be part of a dynamic analytics and modeling team focused on developing behavior models for balance sheet portfolios. We are currently looking for candidates with strong modeling and analytical skills. This position will work with other quantitative analysts, data scientists, and the business analysts in developing and enhancing the deposit modeling framework to support multiple business purposes in Capital One.
Requirements
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
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 working with AWS
- At least 3 years’ experience in Python
- At least 3 years’ experience with machine learning
- At least 3 years’ experience with SQL
Responsibilities
- Develop and support econometric time-series models for the balance sheet
- Identify opportunities to apply quantitative methods to improve business performance
- Demonstrate track record in behavior model development
- Ability to clearly communicate models and methods to management, model risk office, regulators and other modelers
- Develop and maintain high quality and transparent documentation
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
