Manager, Risk Data Scientist

Manager, Risk Data Scientist – BILL

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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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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.

We are looking for a talented, enthusiastic and dedicated Manager to join and lead Bill’s Card Compromise Fraud Risk team. The incumbent will be working on fraud strategy projects, managing data scientists, and leading collaboration between the Card Compromise Fraud Risk team and cross‑functional groups related to key fraud risk department initiatives. The Manager will take ownership of end‑to‑end strategy associated with real‑time fraud detection, transaction risk monitoring, and other initiatives to support new and existing BILL Card products.

This position requires designing experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes.

• Develop and implement real‑time fraud detection strategy and perform advanced analytics in the risk domain.
• Manage teams of data scientists, fostering effective collaboration and professional growth.
• Lead cross‑functional initiatives spanning multiple teams to align priorities with business goals.
• Drive operational efficiencies and scale through ongoing policy and model optimization.
• Communicate complex results clearly to technical experts, business partners, and executives.
• Design experiments to evaluate customer experience impacts of machine learning‑based risk strategy changes.

• Minimum 6 years of total industry experience (incl. 2+ years in a people‑managerial position) in risk management within the fintech or financial services industries with an emphasis on fraud risks.
• Bachelor’s degree (advanced degree (MS, PhD) desirable), preferably in Statistics, Physical Sciences, Computer Science, Economics, Mathematics, or a related technical field.
• Strong knowledge of the fundamentals of risk strategy such as fraud detection and prevention, balancing customer experience against rising fraud threats, using data to draw insights for risk mitigation.
• Extensive knowledge and experience with defining, developing, and deploying risk management methodologies.
• Strong track record of performing data analysis and statistical modeling using Python, SQL or similar tools.
• Machine learning techniques include clustering, classification, regression, decision trees, neural nets, anomaly detection, etc.
• Ability to clearly communicate complex results to technical experts, business partners, and executives.
• Expertise in driving operational efficiencies and scale through ongoing policy and model optimization.
• Experience in managing and nurturing data scientists effectively.
• Experience working with cross‑functional teams including product, engineering and operations and leading organization‑wide initiatives spanning multiple teams.
• The ability to drive and influence cross‑functional teams on key projects, establishing priorities while aligning with the business goals and vision.
• Strong analytical abilities. Familiarity with typical transaction data, systems & technologies is highly valuable.

• Card Compromise, Payment Fraud domain knowledge.
• Problem solving / Decision making.
• Management experience.
• Out‑of‑the‑box thinking with an ability to be highly flexible.
• Highly analytical, ability to use logical reasoning and draw conclusions from insights.

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.

$167,400—$200,700 USD

Redefining how businesses automate their work is a fast‑paced, exciting, and fun environment. We also have benefits and perks to ensure the magic isn’t only experienced by our…