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- Tasks: Lead the research lifecycle in machine learning for trading models.
- Company: Top capital markets firm in London with a flat structure.
- Benefits: Competitive salary, robust resources, and impactful work.
- Why this job: Make a real difference in options trading with your ML expertise.
- Qualifications: Masters or PhD in a quantitative field and strong Python skills.
- Other info: Dynamic environment with opportunities for innovation and growth.
The predicted salary is between 43200 - 72000 £ per year.
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.
ML Researcher — Quant Finance, End-to-End Impact (London) employer: Citadel Securities
Contact Detail:
Citadel Securities Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Researcher — Quant Finance, End-to-End Impact (London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the quant finance space on LinkedIn or at industry events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to finance. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding key ML concepts. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace ML Researcher — Quant Finance, End-to-End Impact (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in machine learning and Python in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your projects or research!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing how you connect your experience to the responsibilities of owning the research lifecycle from hypothesis to deployment.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the position.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in London.
How to prepare for a job interview at Citadel Securities
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and quantitative methods. Be ready to discuss your previous projects in detail, especially those involving Python. This is your chance to showcase your expertise, so don’t hold back!
✨Understand the Business
Familiarise yourself with the capital markets and how machine learning can impact trading, particularly in options markets. Showing that you understand the business side of things will impress the interviewers and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practice common algorithms and data structures in Python, and be prepared to explain your thought process clearly. This will help us see how you approach problem-solving.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, the research lifecycle, or the company’s approach to machine learning. This shows that you’re engaged and serious about the position, plus it gives you a better understanding of what to expect.
