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