Fraud Analyst – Fraud Risk Management

JD: Fraud Analyst – Fraud Risk | Mumbai

Join Snapmint as a Data Analyst in our Fraud Risk Team and help drive end-to-end fraud prevention for high-scale digital lending products. In this role, you'll work on real-time fraud detection, rule building, and data analytics to minimize fraud losses while ensuring a seamless customer experience.

Key Responsibilities:

• Monitor fraud metrics across products including Checkout, EMI, Pay Later, Personal Loans, and UPI Credit
• Identify fraud patterns through deep-dive data analysis
• Build, test, and optimize fraud rules within decisioning systems
• Collaborate with technology teams to deploy real-time fraud controls
• Support fraud model development using internal, bureau, and third-party data
• Partner with Fraud Operations to investigate trends and improve fraud detection
• Track rule and model performance to reduce false positives while maintaining strong fraud capture.

Requirements - Must-Have

• 2–5 years of experience in Fraud Risk or Risk Analytics (fintech or digital lending experience preferred)
• Strong understanding of the credit lifecycle and underwriting
• Proficiency in SQL, Python or R (including libraries such as Pandas and Matplotlib), and Excel
• Strong analytical, problem-solving, and data interpretation skills
• Experience in fraud rule creation and strategy tuning is an advantage
• Hands-on experience with dashboarding tools such as Databricks and Tableau

Requirements - Good to Have

• Exposure to fraud tools and rule engines
• Experience working with third-party data providers (credit bureaus, device intelligence, etc.)
• Basic understanding of machine learning models used in fraud detection

What Makes You a Great Fit

• Hands-on approach with a strong sense of ownership
• Ability to balance effective fraud prevention with an excellent customer experience
• Comfortable working in a fast-paced, high-growth startup environment