About the team + role
Robinhood’s Credit Card Fraud & Risk team develops groundbreaking credit products, designs state of the art decision frameworks, and builds risk management systems that serve our customers. Our team seeks to push the boundaries of what credit products and experiences can look like.
We are actively seeking talented professionals with a demonstrated background in credit card management to shape our vision, deliver smart financial solutions, and democratize finance. Join us as we revolutionize the credit landscape and redefine the way people interact with financial services.
It is preferred that this role is located in one of the office locations listed on this job description which will align with our in-office working environment. This position is only eligible for remote work in limited geographies within the US where we do not have physical office locations. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you’ll do
- Develop rules and policies for fraud detection & prevention across the credit card lifecycle
- Set and optimize credit policies for new accounts and for customer management programs such as limit increases
- Develop comprehensive monitoring and analysis suites that helps identify actionable insights and new strategies to improve business performance
- Explore and evaluate third party tools to improve fraud strategy outcomes
- Build and maintain NPV valuation models for management of credit programs
- Influence and partake in cross-functional collaborations to drive key product features and strategies
- Design tests to refine product and credit strategy
- Communicate performance and strategy with senior leadership as well as external stakeholders
What you bring
- Strong quantitative analytical skills
- No less than five years of experience building credit strategies across the customer lifecycle (Acquisitions, Customer Management, etc.), with at least two years managing fraud for consumer credit products
- Hands-on experience with SQL / R/ Python (Pandas, Scikitlearn etc.)
- Experience in designing and interpreting randomized testing frameworks
- Experience in managing credit programs that leverage machine learning models
- Strong communication skills and ability to simplify complex programs and focus on key areas of leverage
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
What we offer
- Market competitive and pay equity-focused compensation structure
- 100% paid health insurance for employees with 90% coverage for dependents
- Annual lifestyle wallet for personal wellness, learning and development, and more!
- Lifetime maximum benefit for family forming and fertility benefits
- Dedicated mental health support for employees and eligible dependents
- Generous time away including company holidays, paid time off, sick time, parental leave, and more!
- Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
