Tech Stack

Description

You will investigate fraud cases end-to-end, analyze historical data to identify fraud patterns, develop detection rules, and collaborate with cross-functional teams to drive data-informed decisions in a fintech environment.

Requirements

• Advanced SQL skills including joins and window functions
• Strong experience in statistical analysis and hypothesis testing
• Experience in fraud detection, risk analytics, or underwriting analysis
• Strong experience working with behavioral and transactional data
• Ability to communicate insights effectively to business and technical teams

Responsibilities

• Investigate fraud cases end-to-end across application, funding, and repayment stages
• Analyze historical data to identify fraud patterns and vectors
• Develop and validate fraud detection rules and signals
• Analyze loan application datasets to identify anomalies and manipulation patterns
• Translate analytical findings into actionable insights for stakeholders