Quantitative Researcher / Machine Learning Researcher (Early Career)

About the role

A Singapore-based proprietary trading firm founded by a former trader from a well-known quant firm is hiring early-career researchers. It has over $200M of its own capital, nine people across Singapore, New York, London and Hong Kong, and is hiring about ten researchers this round. The firm works in crypto and prediction markets, where there is still much to discover.

The researcher takes a signal from research idea to live strategy themselves: they research it, build it, test it, run it and monitor it. Machine learning and LLMs are used every day, and AI is part of how the whole team builds.

Required profile

• Return offer from a top quant trading firm, or a live late-stage process at one (e.g. Jane Street, HRT, Renaissance, XTX, Headlands, Citadel Securities, SIG, Optiver, Jump or IMC).
• Graduating by September 2027 at the latest, or already graduated.
• Outstanding record at a leading university in maths, statistics, computer science, machine learning, physics, engineering or operations research; Olympiad medals, Kaggle wins and competitive programming stand out.
• Excellent spoken and written English, able to explain research clearly and simply for client-facing work.
• Willingness to move to Singapore for at least a year.

Required skills

• Excellent Python, having built, trained and tested real machine learning models.
• Daily use of AI in research and development.

What we offer

• Direct access to the founder, who mentors the researcher, instead of being one of hundreds at a big firm.
• Guaranteed compensation tailored to the candidate, matching or beating return offers from top firms, with up to $1M total for the strongest candidates.
• Full relocation and visa support to Singapore, and a New York office is launching.
• A fast process of three to four stages.

Applicants answer screening questions honestly; everyone who matches is called within 48 hours, and the first call is confidential.