Role OverviewThe Fraud Risk Strategy Data Scientist will lead key projects associated with fraud detection, risk analysis, and loss mitigation at Bill.com. The incumbent will be responsible for performing analytics, refining risk strategies, and developing predictive algorithms.
What You Will Do
The role requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. The incumbent will be responsible for developing flexible performance dashboards and monitoring, and applying advanced knowledge of data, metrics, profiles/typologies, and key indicators in the financial fraud risk domain.
Why It Might Be a Fit
The ideal candidate will have experience in end-to-end fraud risk control strategy, and will be able to achieve ambitious business goals through design, creation, and execution of control strategies.
Requirements
- Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments
- Experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain
- Ability to develop flexible performance dashboards and monitoring
- Advanced knowledge of data, metrics, profiles/typologies, and key indicators in the financial fraud risk domain
Benefits
- 100% paid employee health, dental, and vision plans
- 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
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