Data Scientist, Dispute Risk
Core
Data-driven Risk Analyst investigating fraud and dispute cases while analyzing loss trends to reduce fraud losses and improve risk processes.
Role type
Mid-level IC data scientist (fraud & risk)
Builds
Fraud detection workflows, dispute resolution outcomes, and risk performance dashboards
Domain
Fintech / Financial Services / Fraud & Risk
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Google Sheets, Python, fraud investigation, data analysis, critical thinking, documentation
Preferred skills
AI/automation tools, payment processing fundamentals, fraud typologies, case-review experience
Technologies
SQL, Google Sheets, Python, AI-assisted tools
Responsibilities
Analyze fraud and loss trends to identify drivers and recommend loss reduction strategies; Investigate assigned fraud and dispute cases from intake to resolution using evidence and risk signals; Improve processes and automation by identifying AI opportunities and validating outputs; Build reporting and monitor performance via actionable dashboards tracking risk metrics; Collaborate on ad hoc needs to answer time-sensitive questions for stakeholders
