Risk Strategy Data Scientist

Innovate with purposeAt 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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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 dedicated person to join BILL’s Fraud Risk Strategy team. The incumbent will be responsible for leading key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain.We’d love to chat if you have : Minimum 2 years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science / analytics to solve complex business problems. Achieved ambitious business goals through design, creation, and execution of control strategies through direct work (complex analytical rule development, maintenance, etc) and in collaboration with Product Managers, Engineers, and Business Stakeholders. Developed, maintained, and refined risk strategy frameworks for a domain to keep model strategy up to date with high performance with the goal of delivering on KPIs. Built and deployed data driven and automated monitoring rules to detect and quickly respond to evolving risk trends. Partnered with product / engineering on product / customer touchpoints for risk signal capture and treatments from strategies. Utilized advanced analytics techniques to significantly contribute to the refinement of end to end control strategies, including experience in building complex SQL / Python scripts with minimal guidance to solve ambiguous problems. Expertise with interpreting results and using data findings to influence decision making. Developed flexible performance dashboards and monitoring that drill to the right level of granularity to fit the audience, business needs; covering the breadth of control strategy . Hands on experience wrangling complex data in tools (ie. Tableau) with the focus to perform monitoring, diagnostic analytics, and share actionable stories with data.Applied advanced knowledge of data, metrics, profiles / typologies and key indicators in the financial fraud risk domain. Demonstrated ability to find and recommend additional enhancements within data features, data enrichment, score recalibration for existing strategies and processes. Identify and execute new model / rules / product opportunities in order to optimize processes aligning with the business goals. Experience in project leadership, partnering and collaborating with cross functional teams including modeling, product / engineering, operations to effectively design strategies across the lifecycle at multiple touchpoints. Establishing business requirements, shared KPIs, guiding execution, and performing validation / maintenance. Experience influencing cross functional team approaches. Mentorship and support of junior team members to achieve goals.Bonus : Experience in experimental design, fraud typologies that involve onboarding fraud / abuse, and data / control governance, including proposal development, user acceptance definition, pre / post implementation validation, and approval workflows to ensure high quality deployments. #LIWhat’s in it for you? Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well. Here is a preview of some of the amazing benefits here at BILL : 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)HSA & FSA accounts Life Insurance, Long & Short-term disability coverageEmployee Assistance Program (EAP)11 Observed holidays and wellness days and flexible time off Employee Stock Purchase Program with employee discountsWellness & Fitness initiativesEmployee recognition and referral programsAnd much moreDon’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.BILL is an Equal Opportunity Employer that values diversity and inclusion. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com.Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.