Operations Senior Associate; Data Operations - Parametric

ABOUT MORGAN STANLEY

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit

Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what is important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs.

We also offer systematic alpha and alternative strategies to complement clients' core holdings.

This role is part of Parametric's hybrid working model, which includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week.

The Data Operations team is responsible for ensuring data being sourced for critical business functions is available and fit for purpose on a daily basis. This includes the management of core firm market data such as pricing, security data, index data and corporate action data. The team also performs daily tasks such as managing data mastering exceptions, managing requests related to new indices and collaborates with partners across the firm to implement strategic data initiatives that drive accuracy, transparency and scalability.

The Operations Senior Associate will be responsible for working within the Data Operations team responsible for the oversight, maintenance, quality, and delivery of critical investment data across the firm. This individual will execute both day-to-day operational responsibilities and support larger strategic initiatives focused on improving data scalability, control, consistency and efficiency.

This role combines leadership qualities, strategic thinking, and the ability to multi-task between daily tasks and the more holistic firm goals.

• Execute day-to-day activities within the Data Operations team related to Reference and Market Data, ensuring accurate and timely completion of operational responsibilities.
• Support the mastering and maintenance of critical investment data, including security master and reference data, across EDM, internal data services and downstream systems.
• Support large-scale firmwide data initiatives focused on improving scalability, automation, data quality and operational efficiency.
• Collaborate with business, technology, operations, risk, compliance and investment stakeholders to understand data requirements, resolve issues and support strategic platform initiatives.
• Support data onboarding, testing, validation and implementation activities for new data sources, data elements, system enhancements and data mastering processes.
• Support efficient and timely security master workflows, data alignment across internal systems, exception management and downstream data distribution.
• Coordinate UAT, regression testing, production validation and implementation readiness for EDM and related internal data services.
• Maintain strong controls, procedures, metrics and escalation processes to support data accuracy, timeliness and transparency.
• Balance daily production responsibilities with strategic initiatives, ensuring operational service levels are maintained while supporting broader firm goals.
• Identify opportunities to streamline workflows, reduce manual intervention, improve data quality and enhance consistency across platforms.

• Bachelor's degree required, finance or related preferred
• Strong background in Market data and Pricing data within the Financial Industry
• A minimum of 5+ years of experience in data analysis and data management best practice
• Strong analytical and problem solving skills
• Excellent verbal and written communication skills
• Experience with cloud-based data…