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- Tasks: Drive innovative machine learning research to impact trading decisions in options markets.
- Company: Join Citadel Securities, a leading global market maker in capital markets.
- Benefits: Enjoy autonomy, resources, and a flat structure with no bureaucracy.
- Why this job: Make a real impact by turning cutting-edge ideas into trading strategies.
- Qualifications: Masters or PhD in a quantitative field with strong ML and coding skills.
- Other info: Dynamic environment with opportunities for rapid career growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
Responsibilities
- Own the full research lifecycle, from hypothesis, experiment design, model validation, risk/overfit controls, to deployment.
- 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.
- 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.
About Citadel Securities
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.
Machine Learning Researcher, Options in London employer: Citadel Enterprise Americas LLC
Contact Detail:
Citadel Enterprise Americas LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher, Options in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Citadel Securities on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or research, make sure to highlight them in conversations. Discussing your hands-on experience with machine learning models can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice solving problems on platforms like LeetCode or HackerRank, focusing on Python and machine learning algorithms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Citadel Securities.
We think you need these skills to ace Machine Learning Researcher, Options in London
Some tips for your application 🫡
Show Your Passion for Machine Learning: When writing your application, let your enthusiasm for machine learning shine through! Share specific examples of projects or research that excite you and how they relate to the role. We love seeing candidates who are genuinely passionate about the field.
Highlight Relevant Experience: Make sure to emphasise any hands-on experience you have with machine learning models, especially in a trading context. We want to see how you've taken ideas from theory to practice, so don’t hold back on those details!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate candidates who can communicate complex ideas simply, as it reflects the kind of clarity we value in our work.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensure you’re considered for any suitable vacancies. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at Citadel Enterprise Americas LLC
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially in areas like regression, optimization, and deep learning. Be ready to discuss your past projects and how you've taken ML ideas from theory to real-world applications.
✨Show Your Problem-Solving Skills
Prepare to demonstrate your ability to simplify complex problems and iterate quickly. Think of examples where you've owned decisions and made a significant impact through your research or coding skills.
✨Get Familiar with the Markets
Since this role involves options trading, it’s crucial to show your curiosity about financial markets. Brush up on microstructure, options dynamics, and volatility regimes so you can engage in meaningful discussions during the interview.
✨Code Like a Pro
Be prepared to showcase your coding skills in Python, particularly with libraries like NumPy and PyTorch. You might be asked to solve a coding challenge, so practice writing clean, modular code that can handle large-scale experiments.
