Location: Mumbai, Maharashtra, India

Join the Fraud Data Science team at JPMC and help drive innovation in fraud identification and prevention. As part of our team, you will design, develop, and deploy cutting-edge AI/ML solutions—including graph analytics and Large Language Models (LLMs)—to tackle complex fraud challenges and deliver measurable business impact.

Key Responsibilities:

• Develop and implement advanced machine learning models (supervised and unsupervised) for fraud detection and prevention.
• Build and maintain graph analytics solutions to uncover fraud patterns and relationships.
• Leverage big data and cloud platforms (e.g., AWS, Spark) to automate, scale, and productionalize analytical models/ AI ML tools.
• Collaborate with cross-functional teams to translate business needs into actionable data science solutions.
• Present insights and recommendations to stakeholders, clearly communicating technical results and business impact.
• Document processes and ensure governance compliance for all analytical solutions.

Required Qualifications:

• Develop and implement advanced machine learning models (supervised and unsupervised) for fraud detection and prevention.
• Hands-on experience with supervised and unsupervised machine learning statistical models. Knowledge of Graph Analytics is a big plus.
• Experience with Large Language Models (LLM) and Agentic AI will be an added advantage; although not mandatory.
• Strong technical skills in Python, PySpark, SQL, and big data/cloud platforms.
• Excellent problem-solving and communication skills. Ability to communicate complex findings clearly in both written format and verbally to technical and non-technical audiences.
• 3+ years of experience with Bachelor’s or Master’s in a quantitative field (Mathematics, Statistics, Economics, Computer Science, Engineering, etc.).

Required Qualifications:

• Experience developing and deploying production-quality machine learning models.
• Familiarity with dashboarding tools (e.g., Tableau) and cloud services (AWS Sagemaker, Amazon EMR).

Join Fraud Data Science to drive innovation in fraud identification and prevention with cutting-edge AI/ML, Graph, and LLM solutions.