Senior Analytics Specialist

Role - Senior Analytics Specialist (Fraud Analytics)

Location: NCR

Experience: 25 years

JD

We are hiring a Senior Analytics Specialist for Fraud Analytics within the vertical. The ideal candidate must have strong analytical skills and deep understanding of rules-based fraud identification, fraud scoring logic, and detection models.

• Design, implement and optimise rule-based fraud detection frameworks.
• Build and analyze datasets for identifying fraud applications / fraud customers.
• Develop fraud scorecards, decision rules, feature sets, and risk indicators.
• Use SQL & Python to build fraud patterns, behavior segmentation, trend analysis, anomaly detection.
• Partner with risk, lending, collections, and compliance teams to refine fraud strategies.
• Develop ML-based fraud detection models (Good to have).
• Create analytical dashboards and automate fraud monitoring MIS.
• Identify early warning signals, suspicious patterns, and rule exceptions.
• Participate in fraud investigations using analytical evidence.

• Strong proficiency in SQL (must be able to write complex queries).
• Strong hands-on experience with Python for analytics.
• Experience in fraud rules creation, fraud events mapping, application patterns, identity analytics.
• Knowledge of fraud domain:
• Synthetic identities
• Application fraud
• KYC mismatch rules
• Device ID / IP risk rules
• Velocity checks

• Strong understanding of analytical techniques: behavior analysis, anomaly detection, segmentation.
• Experience with ML algorithms used in fraud detection (PLUS).
• Experience in BFSI analytics id mandtory.