Job Description

About Us
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.
About the Role
Position Title: Senior Analyst, Analytics Operations
Location: London, UK
Department: Enterprise Data Services
Reports To: Ross Brightman, Director, Reference Data and Valuation Technology and Operations
Company Overview
Tracing our roots to 1928, Wellington Management Company, LLP is one of the world's largest independent investment management firms. Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies. As a private partnership whose sole business is investment management, our long-term views and interests are aligned with those of our clients. We are committed to attracting a talented and diverse workforce, and to fostering an open, collaborative culture of inclusivity because we believe multiple perspectives lead to more informed investment and business decisions.
Position Overview
The Senior Analyst will sit within our Enterprise Data Services department and support efforts to ensure the integrity, consistency, and reliability of analytics data across the organization. This role contributes to operational excellence, automation, and data validation initiatives, working closely with IT, Investors, and client-facing teams.
Key ResponsibilitiesSupport efforts to ensure high standards for analytics data inputs across platforms Assist in developing tools to automate, control, validate, and research data issues Help identify and resolve data quality issues and streamline workflows Participate in team initiatives and knowledge sharing Support the maintenance of robust controls and validation processes Stay informed of industry trends and regulatory requirements Assist in preparing reports on data integrity and operational performance

QualificationsBachelor's degree in Finance, Mathematics, Computer Science, or related field Master's degree or CFA a plus 1-3 years of experience in analytics operations, data management, or a similar role within financial services or technology

Not sure you meet 100% of our qualifications? That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to r

ace, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic

protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.
We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.