Senior Manager, Risk Strategy Data Scientist

BILL

3d•$161,800 - $238,050•Remote

About The Position

We are looking for a talented, enthusiastic and dedicated person to join Bill.com’s Risk Strategy team. This role will report to VP of Fraud Risk Strategy and will work closely with cross functional teams to formulate fraud and credit risk management strategies and controls for payments across different channels. This person will be responsible for building and maintaining the risk strategies and collaborate with cross functional teams to operationalize these risk strategies. This position requires a person who has experience with using data to inform insights, influence stakeholders on relative priorities, management, refining risk strategies and driving initiatives.

Requirements

8 years of experience in risk management within the Fintech or financial services industries with an emphasis on fraud and credit risks.
3 - 5 years in management.
Bachelor's degree.
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.
Adept at SQL queries, reporting and presenting findings.
Proficiency in Excel and other visualization tools.
Strong organization and time management skills and the ability to prioritize manage multiple projects at once.
Ability to collaborate effectively with Product Management, Engineering teams to convey the strategy and work through the roadmap prioritization, planning and implementation.
Collaborate effectively with Customer success and sales teams while dealing with escalations and effectively communicating the risk policies to the broader organization.
Extensive knowledge and experience with defining, developing, and deploying risk management methodologies and models including data science and rule-based and predictive fraud models.
Expertise in driving operational efficiencies and scale through ongoing policy and model optimization.
Strong analytical abilities.
Familiarity with typical credit data, systems & technologies is highly valuable.
Hands-on experience leveraging AI/ML tools to strengthen fraud strategy, including using LLM-based signals, anomaly detection, or generative AI to identify emerging fraud patterns and inform rule and model development.
Familiarity with AI-assisted analytics platforms (e.g., Python-based ML libraries, AutoML tools, or vendor AI solutions) to accelerate fraud pattern recognition, risk scoring, and strategy iteration at scale.
Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

Nice To Haves

MS/MA/MBA degree preferred in Business, Economics, Finance, Analytics, Mathematics, or a related field.

Responsibilities

Formulate fraud and credit risk management strategies and controls for payments across different channels.
Build and maintain risk strategies.
Collaborate with cross-functional teams to operationalize risk strategies.
Use data to inform insights and influence stakeholders on relative priorities.
Manage and refine risk strategies and drive initiatives.
Communicate and liaunt effectively with the Compliance team and formulate the strategy for new product launches.
Manage cross-functional, multi-stakeholder processes, communicating and influencing stakeholders at various levels across functional boundaries.
Leverage AI/ML tools to strengthen fraud strategy, including using LLM-based signals, anomaly detection, or generative AI to identify emerging fraud patterns and inform rule and model development.
Evaluate and govern AI-generated outputs within a fraud risk context — including assessing model drift, managing false positive/negative tradeoffs, and knowing when to override automated fraud decisions.