Fraud Analytics Manager

Job Summary

The opportunity: Data analyst - Hyderabad.

Responsibilities

• Python (Required)
• Advanced experience building analytical tooling, scoring logic, or offline detection workflows.
• Automation, preprocessing, and feature engineering for fraud datasets.
• AWS (Required)
• Hands-on 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 early-life 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.

Qualifications

• Bachelor of Technology in Computer Science
• Bachelor of Technology in Mechanical Engineering
• Bachelor of Engineering in Electrical

Experience

• Data analyst - 8+ yrs, Python, SQL, AI, Fraud

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.