Quantitative Technology Associate - Class

Quantitative Technology Associate

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.

The Quantitative Technology Associate is a two-year rotational program in which you will work across three technology teams s 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#, Power Shell, JavaScript, R, MATLAB, or other languages.
• Manage the design and implementation of enterprise service platforms through process monitoring, automation, configuration, and learning Dev Ops 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…