Staff Data Scientist, Credit Card and Banking

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals!

As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build best in class risk models. You will own the full lifecycle of model development from data prep, model building to model deployment.

What you’ll do

• Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
• Collaborate with credit analysts and product managers to understand the business  problem and deliver appropriate models to solve them
• Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models 
• Deploy, maintain and monitor models in production 
• Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings

What you bring

• You have 7+ years of experience in data science and credit modeling 
• You have strong proficiency in SQL and Python for data analysis and modeling
• You have experience designing experiments and interpreting results to guide product decisions
• You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus
• You communicate clearly with both technical and non-technical partners