layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Quantitative Technology Associate - Class of 2027 at GMO | LAYIQ

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.
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.

Quantitative Technology Associate - Class of 2027

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