Machine Learning Researcher, Options

1 week ago

City Of London, United Kingdom Citadel Enterprise Americas LLC Full time

OverviewAt Citadel Securities, we are at a once-in-a-generation opportunity in the financial markets. Machine Learning Researchers on our Options team turn cutting-edge ideas and petabyte-scale data into bleeding edge models with direct trading impact. Our team of researchers iterate quickly, own decisions end-to-end, and operate with substantial autonomy, resources, and scope in a flat, no-bureaucracy environment.Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.ResponsibilitiesOwn the full research lifecycle, from hypothesis, experiment design, model validation, risk/overfit controls, to deploymentShip models to production that move P&L in options markets—measured by clear, testable outcomesPrototype → test → iterate fast The resources and support to take great ideas from concept to trading in a very short space of timeDiscover alpha in high-dimensional data with deep learning, time-series, and representation learningEngineer scalable research pipelines from feature generation to distributed training and backtestingDevelop trading intuition to translate insights into executable strategiesLeverage large scale compute and data (petabytes; large budgets) to run ambitious experiments and push the frontierSkills and Preferred QualificationsMasters or PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative fieldAdvanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative fieldA results-oriented track record of having taken ML ideas from theory to measurable impactStrong math fundamentals (linear algebra, probability, optimization) and mastery of regression/ML for large scale dataFluency in Python (NumPy, PyTorch) and the ability to write clean, modular, performant code for large-scale experimentsHands-on with modern machine learning (sequence models/transformers, representation learning, regularization, cross-validation, causal/robust inference) applied in practiceBias to action & problem-solving demonstrated ability and comfort around owning decisions, iterating quickly, and simplifying complex problems to impactful solutionsCuriosity about markets and enthusiasm to learn microstructure, options dynamics, and volatility regimes on the jobAbout Citadel SecuritiesCitadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market’s most critical challenges, turning big ideas into real-world outcomes. #J-18808-Ljbffr

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