JD Fraud Analytics / Credit Risk / AML (Modeling / Strategy)

Location: Bengaluru
Experience: 4–10 Years
Notice Period: Immediate Joiners Preferred
Domain: BFSI

Role Overview

We are looking for professionals with experience in Fraud Analytics, Credit Risk, or Anti-Money Laundering (AML) across Model Development, Analytics, Strategy, or Risk Management within the BFSI domain.

Key Requirements
- 4–10 years of experience in Fraud Risk, Credit Risk, AML, or Financial Crime Analytics.
- Experience in risk modeling, scorecards, predictive analytics, fraud detection, or strategy development.
- Robust analytical skills with hands-on experience in SAS, SQL, Python, R, or similar tools.
- Experience working with large datasets and developing data-driven risk strategies.




- Knowledge of customer acquisition, underwriting, collections, fraud prevention, AML monitoring, or transaction risk management.
- Strong stakeholder management and problem-solving skills.
- BFSI domain experience is mandatory.

Preferred Skills
- Experience in model development, validation, monitoring, or risk strategy implementation.
- Exposure to machine learning techniques in risk or fraud analytics.
- Knowledge of Basel, IFRS9, AML regulations, or financial crime frameworks is a plus.

Immediate joiners or candidates with short notice periods will be preferred.

📌 Fraud Analytics/Risk Analytics- Model or Strategy (Bengaluru)
🏢 EY
📍 Bengaluru