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Job Overview

About the Team:

Citi is looking for a Lead Gen AI/ML- Data Scientist to join the Olympus Data Reconciliation and Engineering team, where you will shape the next generation of AI and machine learning capabilities powering enterprise-scale reconciliation across global processing hubs.

In this role, you will drive the full lifecycle of ML model development — from ideation and architecture through to deployment and adoption — delivering measurable impact across Capital Markets operations, risk, and finance. Your work will sit at the intersection of advanced data science and real-world financial systems, influencing outcomes at a global scale.

Responsibilities:
- Design, build,



and deploy AI and machine learning models — including Agentic AI and Generative AI solutions — to solve complex reconciliation and data engineering challenges at enterprise scale.
- Lead the end-to-end ML model development lifecycle, from requirements gathering and data preprocessing through to ensemble modeling, validation, and production integration.
- Analyze large volumes of structured and unstructured financial data to uncover trends, patterns, and opportunities for optimization across banking platforms.
- Define and deliver ML model roadmaps in collaboration with technical and business teams, ensuring alignment with project timelines, budgets, and Citi's architecture standards.
- Translate complex data findings into clear visualizations and strategic recommendations that inform decisions made by senior business and technology leaders.
- Partner with engineering, operations, and cross-functional teams to ensure seamless model integration, long-term scalability, and reliable performance in prod

📌 Lead Data Scientist- Gen AI-ML- Vice president (Chennai)
🏢 Citi
📍 Chennai