Senior Associate, Data Scientist - Commercial Bank Strategy & Analytics
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. Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown both organically and via acquisitions, covering Corporate & Industrial, Commercial Real Estate, and Structured Finance Products. On this team, you’ll get an opportunity to solve a diverse set of problems, with a diverse set of tools. In some settings, you’ll leverage open source programming or cloud computing to predict outcomes across multi-million record datasets. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with quantitative tools when forecasting rare or unprecedented events. It’s a growing team, full of exciting opportunities to solve a range of complex problems.
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 2 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
Nice To Haves
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- Experience working with AWS
- At least 2 years’ experience in Python
- At least 2 years’ experience with machine learning
- At least 2 years’ experience with SQL
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
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
- performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
