Save Job Back to Search Job Description Summary Similar JobsWork with one of the largest banks in Indiawork in a competitive environmentAbout Our ClientOne of India's fast-growing private sector universal banksJob DescriptionAnalyze large-scale transactional and behavioral datasets to identify fraud patterns and risk signals.Design, develop, and optimize ML modelsEngineer 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 solutionsThe Successful ApplicantA successful Fraud Analytics professional should have:3-6 years of experience in Fraud Analytics, Risk Modeling, Fintech, or Banking.Strong expertise in: upervised & 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 OfferAn opportunity to work with a large organisation in the financial services industry.Competitive remuneration package based on experience and expertise.Comprehensive holiday leave and work-life balance initiatives.A collaborative work environment with opportunities for professional growth.Chance to contribute to advanced fraud detection and prevention strategies.If you are passionate about fraud analytics and are looking for a role in Bandra (East), Mumbai, this is your chance to make a meaningful impact. Apply now to explore this exciting opportunity in retail banking and loans!Quote job refJN-062026-7049612Job summaryFunctionInformation TechnologySub SectorAlgorithmWhat is your area of specialisation?Financial ServicesLocationIndiaJob TypePermanentJob ReferenceJN-062026-7049612