Research-powered trading
Introduction
We’re a team of engineers, mathematicians and scientists working on one of the world’s hardest quantitative challenges: global financial markets. We combine statistical modelling, machine learning and high-performance compute to build models and trading systems that generalize, adapt and survive live deployment.
Focus areas
We trade at scale, across a universe of quantitative problems. Our research teams work across the full model lifecycle: defining the problem, selecting data, testing hypotheses, building simulations, analyzing failures and turning models into systems that improve how we trade.
Machine learning for signal discovery
Access petabytes of market data, alternative data and unstructured information to identify predictive signals. Work with sequence models, representation learning, reinforcement learning and other methods when the problem justifies them.
Pricing and forecasting models
Develop predictive pricing, valuation and forecasting models for a constantly evolving set of interrelated financial instruments. Turn models into systems that can react under tight latency and reliability constraints. Monitor behaviour in production and use live feedback to refine what comes next.
Testimonials
“Markets are very non-stationary. Distributions shift over time, relationships change, and what worked before can stop working. That’s why the problem never stays solved.”
“It’s not a black box where you optimize a metric and stop. You might improve a model metric, but if it doesn’t improve the downstream strategy, you need to work with traders and engineers to understand why and redesign it.”
“Our compute infrastructure gives researchers the power to iterate at the speed of their ideas.”
An environment built for research velocity
We invest in a global platform designed to remove friction from idea to outcome. Petabytes of historical and live market data, compute and robust simulation environments allow teams to test more hypotheses, compare results and push into harder questions.
Research at the frontier
Pushing research where standard models stop working
AI labExplore roles
- Early CareersQuantitative Research & Machine LearningEarly CareersQuantitative Research & Machine Learning
- Early CareersQuantitative Research & Machine LearningEarly CareersQuantitative Research & Machine Learning
- ExperiencedQuantitative Research & Machine LearningExperiencedQuantitative Research & Machine Learning
