Lead Data Scientist- Gen AI-ML- Vice president

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 production environments.

- Identify and communicate technology risks and their business implications, developing mitigation strategies and maintaining transparency with stakeholders at all levels.

- Maintain comprehensive model documentation and support knowledge transfer to ensure continuity and adoption across teams.

Technical Expertise:

- 10+ years hands-on experience in Gen AI/ML development and big data engineering within Financial Services, Insurance, or Telecom environments

- Expert-level proficiency in Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), and SQL