Job Description

We are seeking a strategic, data-driven Middle Office Data Engineering and Quality - Vice President to lead the build and evolve a best-in-class Data Engineering and Quality (DEQ) function in India. This role sits within the Public Markets Middle Office and is pivotal to ensuring data accuracy, transparency, and operational readiness across the firm's books and records in support of clients, investment teams and traders, and other essential uses of this data.
The successful candidate will be an innovative data science professional, who will develop quality control checks and insights to mitigate data quality issues, identify anomalies in data for research, and continuously improve upon the process to expand across a complex data set. This position will partner closely with the different Operations, Business, Technology and Data Office teams to establish and evolve the data quality framework and controls to enable timely and quality portfolios investment/performance books and records (IBOR/ABOR) for data consumers.
What you'll bring to the role:

• 10+ years of experience in Investment Operations, Data Management, or Middle Office data and analytics at a global asset manager or financial services firm.
• A strong understanding of data quality principles, including accuracy, completeness, consistency, and timeliness.
• Proficient in data validation, data cleansing, and data governance.
• Experience in investment management across pooled vehicles, SMAs, and institutional mandates.
• Demonstrated understanding of investment and trade lifecycle, with focus on portfolio tax lot level recordkeeping inputs (reference data, marker trades, prices, corporate actions, accruals, amortization, etc.).
• Familiarity with a full range of financial products, including public and private instruments, and asset classes (e.g., equity, fixed, derivatives, loans).
• AI savvy, and experience with leading process improvements and transformation.
• Experience with data quality tools, dashboards, APIs to support real-time data validation and exception handling.
• Strong technology (pro dev and low code) experience, with a track record of developing data-driven platforms, dashboards, and automated controls
• Strong analysis and analytical skills to perform root cause analysis, data lineage, exception handling, and process optimization.
• Demonstrated ability to synthesis data for MI reporting on key performance indicators and other portfolio accounting data as inputs into middle office data health and identifying areas for operational optimization.
• Experience with Data Quality platforms (e.g. Pan DQ, Informatica, PEGA Exception Management) & Business Intelligence Tools (e.g. Alteryx, PowerBI, etc)

Interested can contact 9082169379

Skills Required