XTX Markets
FinTech
QuantitativeResearcher-DeepLearning
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Quantitative Researcher - Deep Learning at XTX Markets. Skills: Deep learning, ML research, Forecasting systems, Modelling. Do original research. Improve forecasting systems”
Industry & Context.
Test hypotheses; Read ambiguous results; Change mind quickly
What They're Looking For.
Must Have
Deep practical understanding of modern deep learning, Mathematical and statistical foundations, Excellent programming ability, Comfort working close to implementation details, Good experimental taste, High standards, Intellectual honesty
Nice to Have
PhD or equivalent research experience, Experience training large models, Building ML systems at scale, Time-series modelling experience, Online learning experience, Continual learning experience, Reinforcement learning experience, Causal inference experience, Probabilistic modelling experience, Optimisation experience, Compilers experience, HPC experience, Low-latency systems experience, Experience taking research beyond prototype
What You'll Do.
Improve forecasting systems
Improve trading systems
Design deep learning models
Train deep learning models
Improve representations
Improve regularisation
Improve uncertainty estimates
Improve evaluation methods
Work with technologists
Turn research into production
Learn market structure
Ask better modelling questions
How You'll Work.
Team & Collaboration
Flat team; Ideas challenged directly
Full Job Description
The Firm XTX Markets is a leading algorithmic trading firm. We build models that forecast prices for more than 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. Those forecasts are used to trade on exchanges and other venues, and to provide liquidity to clients. The firm trades over $250bn a day across 35 countries, with over 300 people in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. XTX is a technology business. Trading here is driven by research, large-scale computation and careful engineering. Over the last decade our models have moved from the econometric methods that gave the firm its name, through trees and neural networks, to modern deep learning. We expect that evolution to continue, and we are looking for researchers who can push it. The research platform is large by any standard, and particularly unusual in trading: well over 25,000 GPUs and more than 1 exabyte of usable storage, with further compute being built in Finland. The point is simple: good ideas should not be bottlenecked by data, infrastructure or compute. The Team This role sits in XTX's central Quantitative Research team, the group responsible for the firm's core forecasting research. The team reports directly to XTX's founder and is intentionally flat. There is little ceremony and little hierarchy; researchers are expected to have ideas, test them properly, argue from evidence and get useful work into the system. The work is modern ML research, not finance by another name. You do not need to have worked in trading. The best candidates usually have strong research taste, mathematical depth and the ability to make models work in practice. An interest in markets helps, because the domain is full of useful structure, but trading intuition can be built here. The Role Trading is a hard setting for machine learning in ways that are not always obvious from outside the industry. The data is enormous, messy, non-stationary and p
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