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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

fraud analysisrisk analysisdata validationanalytical judgmentSQLPython

Soft Skills

attention to detaillearning velocitycommunication skillsadaptabilityjudgment