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.
The Office of Career Strategy posts job listings for the convenience of students. The University does not endorse or recommend employers and a posting does not constitute an endorsement or recommendation. The University explicitly makes no representations or guarantees about job listings or the accuracy of the information provided by the employer. The University is not responsible for safety, wages, working conditions, or any other aspect of off-campus employment without limitation. It is the responsibility of students to perform due diligence in researching employers when applying for or accepting private, off-campus employment and to thoroughly research the facts and reputation of each organization to which they are applying. Students should be prudent and use common sense and caution when applying for or accepting any position. All concerns and issues related to job and/or internship opportunities, including those posted within the Yale Career Link, should be addressed promptly via email to the Office of Career Strategy.
