Operations Senior Associate; Data Operations; Parametric

Position: Operations Senior Associate (Data Operations) - Parametric
ABOUT MORGAN STANLEYMorgan 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  PARAMETRICParametric 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.

ABOUT THE TEAMThe 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.

ABOUT

THE ROLE 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.

PRIMARY RESPONSIBILITIES 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.

JOB REQUIREMENTS Bachelor’s degree required, finance or related preferred

Strong background in Market data and Pricing data within the Financial IndustryA 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 stores a strong plus Ability to learn quickly and work in a changing environment and under tight deadlines

Ability to independently manage personal timelines and meet tight deadlines

Ability to successfully manage and coordinate simultaneous project deliverables across groups and teams

Parametric believes each member of our…