Research Data Analyst

GMOBoston, MA

Apply with Sonara

Apply

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.¹

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

Job Description

Company Profile

Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer 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 $65bn 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.

Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO.

Position Overview

We are looking for a Research Data Analyst to join a high performing team focused on building and maintaining research databases used in a state-of-the-art quantitative investment process. The Analyst will be responsible for resolving data quality issues, building new data quality controls, onboarding new datasets, creating documentation, and making data access more transparent. This position offers a unique opportunity to leverage one’s experience and have an impact on how data is used in the research and investment process. An ideal candidate should have strong knowledge of financial data used in multi-asset class quantitative investing and have a keen interest to think about and solve data quality issues and be adept at using various tools and technologies at their disposal to execute the job.

Key Responsibilities

Monitor incoming data to detect anomalies and remediate issues
Investigate and resolve data quality questions and concerns
Develop an expert understanding of internal databases and processes and ensure information is maintained accurately and efficiently
Become a “subject matter expert” in a variety of data categories (reference, market, fundamental, estimate, macro-economic, et al) across various asset classes including equity and fixed income
Develop a keen understanding of how data is utilized in our investment processes to help design and implement new data sets and processes
Partner with investment teams to proactively address their data needs
Design and build efficient and effective controls to help resolve and identify potential data issues
Coordinate with the data engineering team to identify ways to improve our data and monitoring processes
Work with external market data vendors to bring in new data sources required by business users and support existing feeds
Create documentation to support data processing and exploration
Contribute to a rotational “on call” program to facilitate the overnight processing of data

Requirements

Bachelor’s degree, preferably in economics, statistics, computer science, math or information systems
5+ years of experience working with financial data at an asset management company or financial data provider
Experience orchestrating data pipelines and processes using Apache Airflow
Proficient using Python and SQL to maintain data quality and automate data workflows
Experience modeling data based on vendor methodologies and internal use
Experience building data quality controls and resolving data issues
Proven ability to visualize data using modern data analysis techniques
Strong attention to detail
Strong communication skills
High energy and positive attitude – candidate should be conscientious, self-directed and possess a strong work ethic
Passionate about a data focused career path
Strong interest in databases and database technologies

Plus:

Understanding of LLMs and Generative AI – Ability to evaluate and apply large language models for tasks such as data summarization, anomaly detection, or intelligent alerting.
Prompt Engineering – Skill in crafting effective prompts to extract insights, automate documentation, and enhance data workflows using AI tools.
Experience with data systems implemented in the cloud using Databricks, Delta Lake, Spark
Experience with Data Governance toolsets
Interest in, or experience with, Machine Learning for Anomaly Detection

This salary range is estimated for this role and actual pay may be different based on a candidate’s qualifications and/or years of experience. In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits.

GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.