Staff Fraud Analyst
Core
Design and implement data-driven fraud decisioning strategies to protect debit card transactions and authentication frameworks while balancing security with customer experience.
Role type
Staff Fraud Risk Analyst (Analytics & Strategy)
Builds
Global risk detection systems, real-time reporting, and fraud mitigation strategies for banking transactions.
Domain
Financial Services / Fraud Analytics
Deliverable
production ML models | product features
Required skills
Fraud analytics strategy, SQL, Python, statistical analysis (FPR modeling), authentication frameworks (MFA/3DS/CNP/Tokenization), UX-friction trade-off management
Preferred skills
Debit card fraud mitigation, Account Takeover (ATO) defense, cross-functional stakeholder alignment
Technologies
SQL, Python
Responsibilities
Architect scalable data structures for risk detection; design fraud decisioning strategies for ATO and high-risk transactions; optimize detection precision via statistical analysis; execute end-to-end risk-decisioning for debit cards and auth frameworks; lead cross-functional initiatives to align security and user experience.
Seniority
Staff, hands-on IC with strategic influence