VP, Data Oversight, Investment Management (CLOSED)(Pune, India)

A well-established investment management firm is seeking an experienced and dynamic Vice President to lead its Data Oversight team based in Pune. The ideal candidate will be responsible for managing a team of analysts, enhancing data quality frameworks, and driving innovation in data operations across investment functions. This leadership role offers the opportunity to make a significant impact in a data-centric environment supporting global investment decisions.

Key Responsibilities

• Lead and manage a team of data analysts focused on daily data oversight workflows, incident resolution, and continuous improvement of data quality controls.

• Enhance the data quality rules engine by incorporating advanced exception detection methods, including AI/ML techniques and cross-validation with structured and unstructured data sources.

• Oversee the onboarding of new datasets, defining data control requirements and minimizing noise in exception reporting.

• Guide team members through technical development sessions, including code reviews and test design.

• Produce performance metrics for the team, evaluating effectiveness and efficiency through detailed reporting.

• Support ad-hoc analytical requests and collaborate closely with engineering teams to test and validate data pipelines.

• Write and optimize SQL and Python scripts to conduct in-depth data analysis and process automation.

Key Requirements

• At least 12+ years of experience in investment data analysis and data management operations, with SQL / Python scripting experience. Proven team leadership or people management experience.
• Knowledge of financial data domains such as market data, fundamentals, macroeconomics, transactions, risk, and performance analytics.
• Proven ability to manage competing priorities with strong organizational and project management skills.
• Strong command of SQL and Python for data handling and analysis.
• Academic credentials in Mathematics, Statistics, Engineering, or related quantitative fields.
• Background in quantitative modeling or systematic portfolio construction is a plus.

Interested parties please send your resume to Abhishrut Banerjee at .
Regrettably, only shortlisted candidates will be contacted.