Develop, implement, and maintain fraud rules and detection strategies for participant transactions (e.g., withdrawals, loans, distributions).
Analyze fraud trends, rule performance, and key metrics to improve detection rates and reduce false positives.
Perform deep-dive analyses to identify emerging fraud patterns, vulnerabilities, and control gaps.
Adjust thresholds, logic, and segmentation to optimize real-time decisioning performance.
Collaborate with Product, Engineering, and Operations to support fraud controls in new features and participant journeys.
Provide analytical support for fraud cases, root cause analysis, and loss mitigation efforts.
Develop and deliver clear reporting on fraud trends, losses, and control effectiveness.
Ensure fraud controls are documented, tested, and aligned with risk and compliance standards.

2+ years in fraud analytics, fraud strategy, or financial crimes
Experience in at least one of the following: Fraud rules management / transaction monitoring, Payments fraud, account takeover, or digital fraud risks
Experience working with cross-functional teams in a matrixed environment
Strong analytical and problem-solving skills with experience using data to drive decisions
Proficiency in SQL, SAS, Python or other data analysis tools and data visualization tools such as Tableau or Power BI
Familiarity with fraud rules engines or decisioning platforms (preferred)
Basic understanding of fraud models or scoring methodologies.
Strong written and verbal communication skills
Ability to translate data insights into clear, actionable recommendations
Detail-oriented with strong execution focus
Collaborative mindset with ability to work across teams

Fraud Strategy Analyst

Key skills