Quantitative Researcher

Quantitative Researcher – Maths / Statistics / Machine LearningSingapore | Relocation supported We are working with a newly established research and technology firm building a next-generation predictive trading platform from the ground up. The firm is being built by a small team with backgrounds across Citadel Securities, Jump Trading and other leading quantitative and technology environments. They are now assembling a highly selective research team to tackle complex prediction problems using a combination of classical statistics and modern machine learning.Previous experience in finance or trading is not required. In fact, we are particularly interested in speaking with researchers and exceptional graduates currently working outside of financial markets.The opportunityThe research sits at the intersection of mathematics, statistics, machine learning and large-scale computing.The team is exploring predictive problems using approaches spanning statistical modelling and inference through to deep sequence models, reinforcement learning and GPU-scale training.This is a genuinely greenfield environment. There are no legacy research systems or inherited processes – early researchers will have significant freedom to explore ideas and influence both the research agenda and the platform being built around it.The existing team combines significant experience across quantitative research and technology with exceptional academic backgrounds, including International Olympiad medals and top Putnam performances.Who we're looking forWe're interested in exceptional problem-solvers rather than a particular industry background. Relevant backgrounds could include:MathematicsStatistics / BiostatisticsComputer ScienceMachine Learning / AIPhysicsOperations Research / OptimisationComputational ScienceApplied MathematicsOther highly quantitative disciplinesYou might be:Completing or recently finished a strong PhDA researcher with a few years' experience in AI, deep-tech, scientific computing, technology, biotech or another research-led environmentAn exceptional undergraduate or Master's graduate with outstanding academic resultsAn Olympiad / competitive programming candidate with IMO, IOI, IPhO, ICPC, Putnam or comparable achievementsWe're looking for evidence of:Exceptional mathematical and statistical problem-solving abilityStrong programming skillsIntellectual curiosity and an ability to conduct independent researchThe ability to move between theory, experimentation and implementationAn exceptional academic or competitive track record You do not need to know how financial markets work. The team can teach the domain; the priority is finding people with exceptional raw research ability. Why consider it?You'll be joining at the very beginning of the build rather than entering an established research organisation.The firm is deliberately building a small, talent-dense team where researchers can take ideas from inception through to implementation without layers of infrastructure or organisational complexity.Researchers will have access to petabyte-scale datasets, GPU-accelerated training and large-scale simulation, with significant resources available to test ambitious ideas.Although trading is the initial application, the longer-term ambition extends beyond trading alone, using the technology, research and team being built to tackle a broader set of problems across AI, finance and technology.