Save Job Back to Search Job Description Summary Similar Jobswork in one of the largest BanksWork in a competitive environmentAbout Our ClientOne of India's fast-growing private sector universal banksJob 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 Applicant3-6 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 PyTorchWhat's on OfferCompetitive 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), MumbaiQuote job refJN-062026-7049612Job summaryFunctionInformation TechnologySub SectorAlgorithmWhat is your area of specialisation?Financial ServicesLocationIndiaJob TypePermanentJob ReferenceJN-062026-7049612