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Tier-1 brand, popular ML/AI title, and metro location increase candidate competition.
Strong banking risk, compliance, and model governance requirements limit cross-industry transferability.
Mandatory regulatory domain experience, specific ML/MLOps stack, and explicit years make screening highly selective.
Lead design, development, and deployment of advanced ML models and AI solutions for risk, compliance, and financial crime domains in a production environment.
Build and maintain full ML pipelines including data ingestion, feature engineering, model training, validation, deployment, and monitoring adhering to model risk management standards.
Mentor junior data scientists, contribute to team strategy and AI governance including model explainability, regulatory compliance, and stakeholder communication.
Master's degree in quantitative discipline (Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering, or related).
2–3 years experience in financial services data science or AI/ML, preferably in Risk, Compliance, or regulatory functions with domain knowledge in credit risk, market risk, operational risk, or financial crime.
Strong proficiency in Python, SQL, big data technologies (Spark, Databricks), and ML frameworks (XGBoost, PyTorch, scikit-learn); experience with cloud platforms (AWS, Azure) and MLOps tools (MLflow, Airflow).
Role based in Pune; hands-on experience with NLP, generative AI (LLMs, RAG, prompt engineering), and familiarity with AI governance frameworks (SS1/23, BCBS 239) required.
Technically strong data scientist/ML engineer with operational experience delivering production-grade risk analytics models within regulated financial environments.
Comfortable balancing hands-on development with leadership responsibilities including mentoring, cross-functional collaboration, and strategic AI roadmap contribution.
Proficient in navigating AI governance and regulatory compliance for banking risk models, with clear communication skills to articulate complex AI concepts to non-technical stakeholders.