Risk Strategy Data Scientist; Credit​/Fraud

Risk Strategy Data Scientist (Credit / Fraud)

Join to apply for the Risk Strategy Data Scientist (Credit / Fraud) role at BILL

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. We’re creating the future of financial automation so businesses can spend more time on what matters.

• Lead the way:
  Drive the development, maintenance, and refinement of risk strategy frameworks and complex rules to achieve ambitious business goals.
• Be a data detective:
  Use advanced analytics and data science techniques to solve complex business problems. This includes building sophisticated SQL/Python scripts, interpreting results, and influencing decision‑making with your findings.
• Collaborate and create:
  Partner with cross‑functional teams—including product, engineering, and operations—to identify new opportunities, establish business requirements, and guide the execution of strategies across the customer lifecycle.
• Build powerful tools:
  Develop flexible performance dashboards and monitoring tools using platforms like Tableau to provide clear, actionable insights to a variety of audiences.
• Stay ahead of the curve:
  Identify and execute new opportunities to optimize processes and proactively detect and respond to evolving risk trends.
• Mentor and grow:
  Help mentor and support junior team members to help them achieve their goals.

• Proven experience:
  
  Minimum of 3+ years of experience in fraud or credit risk strategy within the fintech, e‑commerce, or online payments industry.
• Technical expertise:
  Proficiency in SQL and Python, with a strong ability to work with large, complex datasets and leverage data science libraries.
• Analytical mindset:
  Demonstrated ability to use statistics and data science to solve complex, ambiguous problems and drive data‑driven decisions.
• Exceptional communication:
  Ability to clearly and concisely communicate complex results to both technical experts and business leaders.
• Hands‑on experience:
  Direct experience with developing and deploying data‑driven and automated monitoring rules, and the ability to find and recommend enhancements for existing processes.

• Experience in experimental design and data/control governance.
• Knowledge of fraud typologies, such as onboarding fraud/abuse.
• Experience with customer management or collections strategies for credit products like revolving credit cards or merchant cash advances.

Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

The estimated salary range for this role is as follows:
San Jose, CA: $110,200 – $132,100 USD
Draper, UT: $93,700 – $112,300 USD
The role is also eligible for a competitive benefits package that includes medical, dental, vision, life and disability insurance, a 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.

• 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
• HSA & FSA accounts
• Life Insurance, Long & Short‑term disability coverage
• Employee Assistance Program (EAP)
• 11+ observed holidays and wellness days and flexible time off
• Employee Stock Purchase Program with employee discounts
• Wellness & Fitness initiatives
• Employee recognition and referral programs
• And much more

BILL is an Equal Opportunity Employer. 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 interv

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