Machine Learning Researcher, Options

Citadel Securities; England; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading capital markets firm in London is seeking a Machine Learning Researcher to own the research lifecycle from hypothesis to deployment. Applicants should have a Masters or PhD in a quantitative field, strong expertise in machine learning, and proficiency in Python. The role offers the opportunity to develop models that have a direct impact on trading in options markets, supported by robust resources and a flat organizational structure.

Qualifications

• Advanced training and strong research track record in machine learning or statistics.
• Deep knowledge of large scale models and their training techniques.
• Strong math fundamentals, proficiency in regression/ML for large datasets.

Responsibilities

• Own the full research lifecycle from hypothesis to deployment.
• Conduct research and development in machine learning for quantitative finance.
• Prototype, test, and iterate models to impact options markets.

Skills

Machine Learning

Statistics

Python

Deep Learning

Data Analysis

Education

Masters or PhD in a quantitative field

Tools

NumPy

PyTorch

Job description

At 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.

Location

London

Responsibilities

• Own the full research lifecycle, from hypothesis, experiment design, model validation, risk/overfit controls, to deployment
• Conduct cutting‑edge research and development in machine learning (e.g. LLMs) at scale with a focus on industry leading techniques and their applications in quantitative finance
• Ship models to production that move P&L in options markets—measured by clear, testable outcomes
• Prototype → test → iterate fast. The resources and support to take great ideas from concept to trading in a very short space of time
• Discover alpha in high‑dimensional data with deep learning, time‑series, and representation learning
• Engineer scalable research pipelines from feature generation to distributed training and backtesting
• Develop trading intuition to translate insights into executable strategies
• Leverage large scale compute and data (petabytes; large budgets) to run ambitious experiments and push the frontier

Skills and Preferred Qualifications

• Masters or PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
• Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field
• Deep knowledge of cutting edge large scale models and their training and design
• Training techniques (pre‑training, fine‑tuning, RL, RLHF), and optimization methods
• A results‑oriented track record of having taken ML ideas from theory to measurable impact
• Strong math fundamentals (linear algebra, probability, optimization) and mastery of regression/ML for large scale data
• Fluency in Python (NumPy, PyTorch) and the ability to write clean, modular, performant code for large‑scale experiments
• Hands‑on with modern machine learning (sequence models/transformers, representation learning, regularization, cross‑validation, causal/robust inference) applied in practice
• Bias to action & problem‑solving demonstrated ability and comfort around owning decisions, iterating quickly, and simplifying complex problems to impactful solutions
• Curiosity about markets and enthusiasm to learn microstructure, options dynamics, and volatility regimes on the job

Citadel 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.