Lead Data Scientist - Fraud Analytics in Chennai, भारत

Lead Data Scientist - Fraud Analytics / AML | Banking / BFSILocation : Chennai (Onsite)Experience : 8 - 12 yearsIndustry : Banking / BFSI / FinTech / PaymentsAbout the Role : We are looking for a hands-on Lead - AI & Data Science professional to drive AI and Data Science initiatives within the banking https://jobeax.com/link/oDjHfcAJ4htFUbSA role will primarily focus on Fraud Analytics, AML, Transaction Monitoring, Machine Learning model development, deployment and production ownership, while supporting Enterprise AI https://jobeax.com/link/YWeFbQYOXsffj75Z Responsibilities : - Own and enhance fraud detection platforms, including RBIH MuleHunter, and related AI/ML solutions.- Develop, deploy, monitor and optimize machine learning models for fraud detection, risk analytics and other banking use cases.- Manage the complete ML model lifecycle, including validation, tuning, retraining and performance monitoring.- Develop and optimize fraud detection rules and scenarios using Business Rules Engines (BRE).- Analyze false positives, false negatives and model performance to improve fraud detection effectiveness.- Collaborate with business, technology, risk and compliance teams to deliver AI-driven solutions.- Support Enterprise AI initiatives, AI governance and future AI https://jobeax.com/link/JQCOaxqOdzjqw0cO Skills & Experience : - 10+ years of overall experience, including a minimum of 5 years in Machine Learning, Data Science or Advanced Analytics.- Experience in Banking, BFSI, FinTech or Payments.- Exposure to Fraud Analytics, AML or Transaction Monitoring.- Strong hands-on experience in Python, SQL, Machine Learning and Predictive Analytics.- Experience in classification models, anomaly detection, feature engineering and model validation.- Proven experience in production ML model deployment, monitoring and optimization.- Ability to independently manage AI/ML solutions and work with cross-functional https://jobeax.com/link/FfNN38MjANEx2m9w Skills : - Experience with MuleHunter, fraud detection platforms or Business Rules Engines.- Exposure to MLOps, AI Governance and Enterprise AI platforms.- Understanding of GenAI, LLMs, RAG or Agentic AI.- Experience in financial crime analytics, risk analytics or banking https://jobeax.com/link/LomAWdzR1uQvNTf4 Candidate : A hands-on AI/ML professional from a BFSI background who can independently develop and manage production machine learning solutions, with strong exposure to fraud analytics and banking risk management. (ref:hirist.tech)