G Research

G Research's quantitative research interview-questions page describes a three-stage process for its main early-careers track: an online quant quiz (either a general quantitative-aptitude assessment or a machine-learning-specific one, depending on background); a technical interview block of four one-hour interviews on the standard track, or two one-hour ML-focused interviews on the ML track; and a final round of leadership interviews. Engineering and corporate paths use a different shape on the firm's graduates page — engineering combines an online skills test with an assessment centre, and corporate runs one to two interviews plus a meeting with a functional leader. Once a candidate clears the online quiz, the firm tells applicants the full assessment process typically takes one to two weeks, so a QR loop is essentially a half-week of dense maths interviews compressed into a short window rather than a marathon stretched across an autumn.

G Research runs three named summer-internship tracks, all based in central London:

• Summer Research Programme — a 10-week quantitative-research internship paired one-to-one with an experienced researcher on a substantive project
• Software Engineering Internship — 12-week or 24-week formats, aimed at students graduating in 2027
• Machine Learning Research Internship — a separate ML-research-focused intern track

A graduate programme runs alongside the internships, with role-specific assessments taking one to two weeks and most graduate roles launching in August. A significant share of summer interns convert to permanent roles. The choice between the three internship tracks is functional and length-based and is committed at the application step, so a candidate applying to the 24-week engineering internship is signing up for a substantially longer block than the 10-week QR cohort before any assessment has been taken.

G Research is a quantitative-research and technology firm headquartered in London whose work is framed as finding patterns in noisy real-world datasets to predict movement in global financial markets. Its team structure breaks into four divisions — Quantitative Research & Machine Learning, Engineering, Technology Innovation Group, and a standalone Open-Source Software team that contributes to the public open-source community alongside its internal research work. The firm runs an internal Machine Learning College of monthly seminars from external academic researchers plus implementation workshops, and a NextGen STEM-outreach programme partnering with bodies including the British Physics Olympiad and the UK Mathematics Trust. Outside London the firm has opened a Dallas office for platform engineering and US-business roles. For a candidate choosing between quantitative funds, the practical contrasts are concrete: research-and-technology framing of the work rather than trading-desk language, a dedicated open-source posture, and an early-careers cohort that sits in one UK city.

Yes. G Research currently has 3 open internship and graduate roles on Jorb AI: summer internships, insight programs, graduate schemes, and early-career positions across the United Kingdom. Postings update continuously as new roles are added and filled.

G Research has open internship and graduate roles in the United Kingdom. Specific offices and program structure (summer vs year-round, internship vs graduate scheme) vary by region; check individual postings for details.

Applications to G Research go through the official careers site. Each role on this page links directly to the specific application. G Research does not use third-party submission services.