Fraud Analytics Manager

EY; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

EY in Hyderabad is seeking a Data Analyst to advance fraud detection capabilities. The role focuses on building scalable data pipelines, applying Python and SQL to compute insights, and shaping analytical tooling for reporting and detection.

The ideal candidate has 8+ years of experience with Python, SQL, and fraud domain knowledge, plus hands-on AWS experience (Lambda, S3, Glue, Step Functions, EventBridge) to implement end-to-end solutions.

Qualifications

• 8+ years of data analytics experience with a focus on fraud detection.
• Proficient in Python and SQL for data analysis and tooling.
• Hands-on experience with AWS services for data pipelines.

Responsibilities

• Build analytical tooling and scoring logic for fraud datasets.
• Automate preprocessing and feature engineering for detection workflows.
• Query complex fraud datasets and perform anomaly detection and rule analytics.

Skills

Python

SQL

AI

Fraud expertise

Education

B.Tech in Computer Science

B.Tech in Mechanical Engineering

B.E. in Electrical

Tools

AWS (Lambda, S3, Glue)

Step Functions

EventBridge

Job description

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.