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 specialists 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.
Robust 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