Description
As a Senior Associate, Data Science - Consumer Credit Risk Models and Data at Capital One, you will be part of a team that's leading the next wave of disruption using the latest in computing and machine learning technologies.
The Consumer Credit Risk Management Models and Data Team blends cutting-edge quantitative methods with a deep understanding of the business, data, and regulatory environment to build and deploy predictive models for losses, account volumes, and outstanding balances.
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, Spark, and more , to reveal insights hidden within huge volumes of data
- Optimize and deploy machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Translate the complexity of your work into tangible business goals
The ideal candidate is customer-focused, technical, a data guru, and statistically-minded.
Basic qualifications include a Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics, or a Master's Degree in a quantitative field or an MBA with a quantitative concentration.
Preferred qualifications include a Master's Degree or PhD in a STEM field, experience working with AWS, and experience with Python, Scala, or R.
Capital One offers a comprehensive set of health, financial, and other benefits that support your total well-being.