Senior Vice President, Data Management & Quantitative Analysis Manager

About the role

In this role, you’ll make an impact in the following ways: Apply quantitative techniques from applied mathematics, statistics, econometrics, and risk modeling to solve business problems, assess risk, and generate insights that support decision-making across Risk & Compliance.

What you'll do

• Work on AI,GenAI,and machine learning use cases, using modern data science approaches for document intelligence, summarization, classification, knowledge extraction
• Design and deliver scalable digital solutions by contributing across the full solution lifecycle, including ideation, development, testing, deployment
• Build and enhance data pipelines, dashboards, UI/UX and reporting solutions using Python, SQL, APIs, and enterprise platforms
• Build and operationalize a centralized calculations service (rules, versioning, traceability) to ensure consistency, reproducibility
• Build and govern a comprehensive metadata program—including catalog, lineage capture, classification, ownership (RACI), stewardship

What you need

• 8–10 yrs of experience
• Machine learning
• SQL
• Python
• LLMs
• ETL
• MLOps
• B.Com or BBA

Good to have

• Data warehousing
• User flows