The chance : Data analyst - Hyderabad

Your key responsibilities

Technical Excellence
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)
Solid 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.

Skills and attributes

To qualify for the role you must have

Qualification




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 cooperative 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Manager Telangana
🏢 EY
📍 Telangana