Data Management Analyst

 

Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer investment strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income and alternative offerings.

 

We manage approximately $80bn for a client base that includes many of the world’s most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate.

 

GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results.

 

 

Position Overview

We are seeking a Data Management Analyst to join GMO's Data Management team within the Technology organization. This role supports the quality, governance, integration, and lifecycle management of data used across GMO's investment and business platforms, including security master, portfolio, reference, market, and other enterprise data. This position provides broad exposure to GMO's data ecosystem and offers opportunities to contribute to platform enhancements, data quality initiatives, workflow automation, and the ongoing modernization of data management practices.

The analyst will work with Operations, Trading, Investments, Compliance, Client Service, and Data Engineering teams, focusing on data quality enhancement and continual process improvement through improvement of existing data quality frameworks and automation of hands-on data workflows and report monitoring. The ideal candidate will have experience working with financial or enterprise data, strong analytical and problem-solving skills, and experience using technology to improve data quality, controls, and operational efficiency.

The position is based in Boston and offers a hybrid work model. This person will be required to be in the office a minimum of 2 days per week, working the remainder of the week either in the office or remotely (to be discussed with the candidate).