Risk Strategy Data Scientist

Innovate with purpose

At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.

Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.

At BILL, we listen, learn, and lead—fostering collaboration and a drive for continuous growth. We’re committed to building a diverse and inclusive workplace that values each person’s unique skills and experiences. Even if you don’t meet every requirement, we’d love to hear from you—you might be just what we’re looking for, whether in this role or another.

✨ Let’s give businesses more time for what matters.

Make your impact within a rapidly growing Fintech Company

We are looking for a talented, enthusiastic and results driven individual to join BILL’s Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and strategy development at BILL. This position requires a candidate who has experience working with machine learning models, performing analytics and designing risk strategies in the credit risk domain.

We’d love to chat if you have:

• 2+ years of experience in risk analytics or data science within credit or online payment industry
• Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science or related field or equivalent practical experience
• Demonstrated history of addressing business challenges using data and analytics
• Proficiency in SQL, Python and Tableau or other dashboard tools
• Experience working with machine learning models and model driven strategies
• A keen interest in gaining in-depth knowledge in the domain, particularly in credit risk, with an openness to learn
• Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations
• Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and …