Senior Director, Data Science - Head of Fair Lending Analytics - Fair & Responsible Banking Compliance
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. The Compliance and Ethics Department is seeking a Data Scientist to lead the group of data scientists and analysts that help identify and mitigate fair lending and related compliance risk throughout Capital One. As the quantitative arm of the Fair & Responsible Banking Compliance Team (F&RB), the Fair Lending Analytics group partners with Legal department subject matter experts to conduct data analyses of lending decisions and provides guidance, advice and approvals for business area activities based on these analyses. This role involves leading experienced data scientists across all aspects of fair lending reviews and monitoring, including performing statistical data analyses, modeling on judgmental areas, working with business on the review of credit models and policies, and enabling the responsible development of AI in credit processes.
Requirements
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 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 9 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) plus 6 years of experience performing data analytics
- At least 6 years of experience leveraging open source programming languages for large scale data analysis
- At least 6 years of experience working with machine learning
- At least 6 years of experience utilizing relational databases
Nice To Haves
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 7 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 4 year of experience managing people
- At least 6 years of experience in Python, Scala, or R for large scale data analysis
- At least 7 years of experience with machine learning
Responsibilities
- 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
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals and effectively mitigate compliance risks
- Develop and implement fair lending and responsible data use processes at Capital One to enable a winning credit business in an AI world
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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What This Job Offers
Job Type
Full-time
Career Level
Director
