Quantitative Technology Associate - Class of 2027

Quantitative Technology Associate - Class of 2027

Boston, MA

Software Engineering and Platform Architecture /

Full-time /

Hybrid

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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 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.

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

The Quantitative Technology Associate is a two-year rotational program in which you will work across three technology teams at GMO. This program identifies and develops exceptionally bright and motivated individuals to build our pipeline of talented technologists. After two years of the program, the goal is for you to be placed in a full-time position with one of our technology teams.

In this role you will develop and support tools and processes for research, trading, portfolio management, client, and operations. GMO's technology teams have close interaction with our business stakeholders.

Each rotation will be approximately eight months in duration. The duration and nature of each rotation will vary based on technology team needs and your skills and interests, and usually encompass:

• data processing & analysis
• application development, including quantitative development
• artificial intelligence

Upon joining in June 2027, you will participate in a training program over the course of several weeks to gain insight into the firm and the investment management technology landscape. Additional training will be provided throughout your tenure in the program.

Responsibilities:

• Propose, design, and implement technology solutions for our business partners:
• for investment teams doing research, portfolio construction and optimization, trade analytics, and portfolio implementation.
• for client teams that support GMO's clients and their overall experience with GMO.
• Enhance existing technology solutions.
• Work closely with technology experts, product owners, and the research teams while gaining skills in Python, SQL, C#, PowerShell, JavaScript, R, MATLAB, or other languages.
• Manage the design and implementation of enterprise service platforms through process monitoring, automation, configuration, and learning DevOps best practices.
• Safeguard, monitor, and support production environments and processes by developing automated and manual tests, running regression suites, and analyzing results.
• Troubleshoot and remediate technical problems.
• Participate in peer reviews (both code and design reviews).
• Participate in producing technical documentation where needed.

Qualifications:

• Strong experience with programming or scripting languages through previous work experience, internships, personal projects and/or classwork.
• Python experience required.
• Knowledge of common technology concepts such as data stores, coding, cloud computing, cybersecurity, or infrastructure.
• Strong track record of completing technology solutions.
• Desire to develop a broad range of technical skills.
• Ability to quickly learn new concepts, systems, and software.
• Interest in artificial intelligence and/or emerging technologies, with a desire to learn how these tools can be applied responsibly in business and investment management contexts.
• Effective verbal and written communication skills in English.
• Positive attitude, professional and mature.
• Detail-oriented, nimble thinker who can effectively manage multiple tasks, and able to prioritize work (although we will help you with that).
• Education degrees, certificates, or credentials in a technology-related field are required. Will consider students completing undergraduate as well as graduate programs.

Application Process

Step 1

1. Submit a Statement of Interest that explains (please keep it to one page):

• Why you want to pursue a career in technology.
• Tells us something about yourself that is not on your résumé.

2. Include your current résumé.

3. Include a copy of your official or unofficial transcript.

Step 2

Selected candidates will be asked to complete a phone interview with the manager of the Technology Associate program during September/October 2026.

Step 3

Selected candidates will be invited to a series of video interviews during October/November 2026.

$90,000 - $100,000 a year

This is a reasonable, good faith estimate of the current salary range for this role. GMO's salary range accounts for a wide array of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs.

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.

GMO will not offer visa sponsorship for this opportunity.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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