Middle Office Data Engineering and Quality_Vice President_Product Support & Services IM

Morgan Stanley; Mumbai City; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Morgan Stanley in Mumbai seeks a strategic Vice President to lead the Middle Office Data Engineering and Quality function. Build, evolve and govern data quality controls across reference data, portfolio data and core processing datasets to ensure accuracy and timely reporting for MSIM clients and traders.

You will partner with Operations, Business, Technology and Data Office teams to scale the data quality framework, drive-derived insights, and deliver intelligent automation across complex

Qualifications

• Strong understanding of data quality principles (accuracy, completeness, timeliness).
• Experience in establishing data quality forums with stakeholders.
• Proficient in data validation, cleansing, governance.
• Experience with AI-enabled process improvements and automation.
• Proficient in Python, LLM libraries, API data transfers, NLP/OCR solutions.
• Experience with cloud data platforms and Databricks AI modules.
• Leadership in data quality program delivery and stakeholder management.
• Ability to synthesize data for MI reporting and KPIs.
• Experience with BI tools (Alteryx, PowerBI, etc.).
• Cross-functional collaboration across Operations, Technology and Data.

Responsibilities

• Own data quality framework for Reference Data and Core Transaction Processing Data.
• Lead the DEQ team with strong people management.
• Develop and operationalize data quality controls for portfolio datasets.
• Maintain data validation and exception monitoring for portfolio accounting data.
• Triage data exceptions and enable scalable issue resolution.
• Deliver data-driven platforms, dashboards and automated controls.
• Propose AI solutions for process transformation and insights.
• Provide oversight on data quality initiatives across multiple workstreams.

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 MSIM 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.

In the Operations division, we partner with business units across the Firm to support financial transactions, devise and implement effective controls and develop client relationships. This is a Advance Specialist position at Vice President level within the within Product Support & Services IM, which is responsible for providing transaction support and managing post execution processes.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

• Own data quality framework for Reference Data and Core Transaction Processing Data ensuring accurate and timely capture of portfolio level accounting data across key data sets.
• Strong people management skills to ensure smooth functioning of the DEQ team
• Develop, maintain, and operationalize data quality controls on portfolio transaction, holding, and valuation datasets.
• Maintain robust data validation and exception monitoring processes to ensure completeness, accuracy, and timeliness of portfolio accounting data.
• Support research and triage of data exceptions, enabling scalable issue identification, mitigation and/or resolution, and escalation.
• Provide high-touch leadership and accountability of complex and sensitive data sets, including those powering performance, reporting, and regulatory processes.
• Ensure proactive, high-quality outcomes for clients and investment teams, and other data consumers of MSIM’s books and records.
• Build and implement data-driven platforms, dashboards, and automated controls.
• Identify & propose AI solutions for process transformation & data insights for more precise business decision making & optimization
• Maintain supervisory oversight on team activities, risk, department and firm initiatives
• Deliver and manage KPI dashboards, trend analysis, and exception reporting to senior stakeholders and data governance forums.
  

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. Experienced in establishing Data quality forums with key stakeholders & built reporting dashboards.
• 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 sav y and experienced with leading process improvements and transformation. Change management experienced. Experienced in leveraging python & LLM libraries for faster adoption process automation concepts, experienced in leveraging API for data transfers, experienced in NLP / OCR solution implementation. Alteryx workflow experience for data conversion and data / rule optimization & conversion. Experienced in cloud strategy especially from data use and transfer perspective. Databricks AI module experience will be value add
• Lead & supported solutions which involved, client & trade lifecycle automation involving AI solutions
• Demonstrated leading / supporting key change the bank initiatives and ability to articulate current and target operating models by leveraging tools and technologies
• 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)
• Experienced to lead & run with multiple workstreams associated to Data quality which involves multiple senior stakeholders spread across operations, technology & Data functions. To be able to drive Data quality process and outcomes.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what’s best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.