Senior Associate, Data Science Applied AI ML

About the role

Data Science & Applied AI team at J.P. Morgan builds production machine learning solutions for Financial Crime and Trade Surveillance. The Senior Associate designs, develops, and supports ML models, handles data pipelines, feature engineering, model governance, and collaborates with compliance, operations, and MLOps. Mumbai, India, on-site, full-time role.

What you’ll do

• Design, develop, and support production ML solutions for trade surveillance and financial crime
• Apply supervised and unsupervised methods to improve detection and reduce false positives
• Execute full model lifecycle: data sourcing, feature engineering, training, validation, calibration, monitoring
• Contribute to model governance deliverables and collaborate with risk and audit partners
• Partner with MLOps to implement CI/CD, versioning, and automated monitoring
• Translate domain typologies into ML controls and incorporate human‑in‑the‑loop feedback
• Deliver interpretable outputs with reason codes and explainability techniques
• Develop GenAI/LLM components to augment statistical and graph‑based detection

What you’ll bring

• Minimum 3 years applied ML/data science experience
• Master’s in Computer Science, Statistics, Mathematics, Economics, Operations Research or related field
• Strong Python and ML tooling (pandas, scikit-learn, Spark/PySpark)
• Experience with imbalanced learning and evaluation metrics (precision/recall, PR-AUC)
• Knowledge of model governance, documentation, validation, drift monitoring
• Ability to communicate model insights to compliance and operations stakeholders
• Familiarity with Financial Crime or Trade Surveillance domains preferred
• Experience developing GenAI/LLM solutions for text summarization

Skills

Education

Master’s in a quantitative discipline