Quantitative Technology Associate

About the Role

The Quantitative Technology Associate is a two-year rotational program at GMO, designed to identify and develop talented technologists. The program involves working across three different technology teams, with each rotation lasting approximately eight months. Upon completion, the goal is for participants to be placed in a full-time role within one of GMO's technology teams.

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.

Key Responsibilities

• Propose, design, and implement technology solutions for business partners, including:
• Investment teams (research, portfolio construction and optimization, trade analytics, portfolio implementation)
• Client teams (supporting GMO's clients and their overall experience)
• Enhance existing technology solutions.
• 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 (code and design).
• Produce technical documentation as needed.

Rotations typically encompass data processing & analysis, application development (including quantitative development), and artificial intelligence.

Requirements & Tech Stack

• 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 prioritize work.
• Work closely with technology experts, product owners, and research teams while gaining skills in Python, SQL, C#, PowerShell, JavaScript, R, MATLAB, or other languages.

Qualifications

• 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: Submit a Statement of Interest (one page) explaining why you want to pursue a career in technology, something about yourself not on your résumé, your current résumé, and a copy of your official or unofficial transcript.

Step 2: Selected candidates will complete a phone interview during September/October 2026.

Step 3: Selected candidates will be invited to a series of video interviews during October/November 2026.