Key skills
PythonSQLCommunication
About this role
Role Overview
- Investigate and label fraud cases at scale, developing strong judgment on ambiguous and edge scenarios
- Translate frontline casework into actionable insights for Product and Data Science (feature gaps, model behavior, new data validation)
- Identify and quantify emerging fraud patterns, including business impact (e.g., loss avoided, attack vectors)
- Support revenue workflows by turning fraud analysis into clear narratives for partners
- Participate in live cross-functional workflows (Product, Data Science, Solutions, GTM) and contribute where useful
- Build deep domain expertise through high-volume repetition, feedback, and continuous refinement of judgment
- Own targeted analyses or projects that improve detection, workflows, or insight generation
- Act as a bridge between frontline fraud signals and business decisions, ensuring insights are translated into action
Requirements
- 3+ years of experience in fraud, risk, or a related analytical field
- Strong analytical judgment and attention to detail
- Demonstrated willingness to take on high volume, high-ambiguity work and improve quickly through repetition
- Clear evidence of learning velocity (e.g., taking on new domains, tools, or responsibilities over time)
- Strong written and verbal communication skills
- Comfortable operating in an environment with high exposure and few rigid boundaries
- SQL or Python experience strongly preferred
Tech Stack
- Python
- SQL
Benefits
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!