Sr. Fraud Data Analyst Position For Hyderabad Location

Role & responsibilities

• Python (Required)
• Advanced experience building analytical tooling, scoring logic, or offline detection workflows.
• Automation, preprocessing, and feature engineering for fraud datasets.
• AWS (Required)
• Handson experience with Lambda, S3, Glue, Step Functions, EventBridge.
• Ability to build scalable, secure data pipelines for fraud detection and reporting.
• SQL (Required)
• Strong ability to query complex fraud datasets, join across multisource data, and perform anomaly identification and rule performance analytics.
• Fraud Expertise (Required)
• Experience with fraud models, rules, behavioral analytics, or earlylife monitoring.
• Understanding of fraud patterns across account takeover, application fraud, payment fraud, synthetic identity, and digital channel risk.
• Ability to translate fraud behaviors into analytical detection methods or rule logic.

Preferred candidate profile

Perks and benefits