Fraud Strategy Associate
Core
Own end-to-end integrity of fraud and risk ecosystem across credit, deposit, and card payment rails by finding patterns, tracing root causes, and building detection logic and automations.
Role type
Fraud Strategy Associate (Financial Services/Fintech)
Builds
Automated detection logic, reporting suites, and internal AI-driven tools for fraud prevention.
Domain
Financial Services / Fintech / Fraud & Risk
Deliverable
production ML models
Required skills
SQL, Python, statistical modeling, data mining, LLM-based tools, process architecture, KPI definition, executive reporting, cross-functional collaboration
Preferred skills
Certified Fraud Examiner (CFE), Snowflake, Salesforce, Hex, multi-jurisdictional fraud risk management, AI tool utilization
Technologies
SQL, Python, LLM-based tools, Snowflake, Salesforce, Hex
Responsibilities
Mine large-scale data to detect fraudulent patterns; Design and refine automated detection logic; Stay ahead of emerging fraud threats and regulatory shifts; Optimize internal fraud investigation workflows; Serve as strategic bridge between Risk, Data Science, Engineering, and Product teams; Define technical requirements for AI-driven risk-reduction platforms; Monitor KPIs (false positive rates, fraud capture rates); Build scalable reporting suites for senior stakeholders; Conduct post-mortems on fraud incidents.
Seniority
Mid-level, hands-on IC