01Overview
work in one of the largest BanksWork in a competitive environment
About Our Client
One of India's fast-growing private sector universal banks
Job Description
Analyze large-scale transactional and behavioral datasets to identify fraud patterns and risk signals.Design, develop, and optimize ML models for: Fraud detection (classification), Anomaly detection (unsupervised/semi-supervised), Risk scoring systemsEngineer high-impact features from structured and alternate data sources.Address challenges such as class imbalance, data drift, and evolving fraud typologies.Define model evaluation frameworks.Develop scalable training pipelines and collaborate on production deployment (batch & real-time).Implement model monitoring, retraining, and explainability (e.g., SHAP-based analysis).Partner with Risk and Business teams to translate open-ended fraud problems into deployable solutions.
The Successful Applicant
3-6 years of experience in Fraud Analytics, Risk Modeling, Fintech, or Banking.Strong expertise in: Supervised & unsupervised learning, Statistical modeling and hypothesis testing, Imbalanced dataset techniques, Model performance optimizationHands-on proficiency in: Python, Pandas, NumPy, Scikit-learn, XGBoost / LightGBM, TensorFlow or PyTorch
What's on Offer
Competitive salary rangeGenerous holiday leave policy.Opportunity to work in a reputed financial services organization in Mumbai.Exposure to cutting-edge analytics and fraud detection tools.Collaborative work culture with growth opportunities.
If you are passionate about analytics and aspire to make an impact in the financial services sector, apply now to join the team in Bandra (East), Mumbai .
