fraud analyst
Core
Identify and prevent emerging fraud patterns across products by analyzing data, system behavior, and vulnerabilities to build practical fraud detection solutions.
Role type
Fraud Analyst (Data & Technology)
Builds
Fraud detection logic, signals, and prevention mechanisms for CRED's products
Domain
Fintech / Fraud Prevention
Deliverable
production ML models
Required skills
SQL, Python, data analysis, hypothesis testing, adversarial thinking, cross-functional collaboration
Preferred skills
Data science/ML concepts, product flow understanding, rapid learning
Technologies
SQL, Python
Responsibilities
Analyze large datasets to identify unusual patterns and fraud signals; Investigate how fraudsters exploit products or systems; Develop and test hypotheses to translate findings into detection approaches; Partner with engineering to implement signals and controls; Operate across different products to address horizontal fraud risks.
