Requisition Id: 1693527

The prospect : Data analyst - Hyderabad

FS :

Finance fuels our lives. Banking, Insurance and Wealth management, create the foundations for growth, prosperity and peace of mind. No other Industry touches so many people or shapes so many lives.

Amid sweeping regulatory change, today s financial services institutions are focusing on digital transformation, convergence and disruption from an array of nontraditional competitors - all while meeting greater demands for trust and transparency.

To address this delicate balance of issues, our competent team of business strategists, technologists and industry leaders bring fresh thinking and sector knowledge across banking and capital markets, insurance, and wealth and asset management. The results are seamless collaboration, innovative problem solving, breakthrough performance gains and sustainable value creation.

We recruit, train and nurture a diverse set of people who dedicate their minds to building the future of financial services. Together, we explore new perspectives with innovative and entrepreneurial thinking to deliver exceptional client service and ensure that what we do today, counts for tomorrow.

Your key responsibilities

Technical Excellence

- Critical Technical Skills

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.

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

EY is equally committed to being an inclusive employer, and we strive to achieve the right balance for our people-enabling us to deliver excellent client service while allowing our people to build their careers as well as focus on their wellbeing.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in shaping the future with confidence. Apply Now

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 (Hyderabad)
🏢 EY
📍 Hyderabad