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- Tasks: Design and implement systematic trading strategies while contributing to alpha research.
- Company: Leading international systematic trading firm based in London.
- Benefits: Competitive compensation, PnL bonuses, and relocation support.
- Why this job: Join a dynamic team and make an impact in the trading world.
- Qualifications: Advanced degree in a quantitative field and programming skills in C++, C#, or Python.
- Other info: Collaborate with experienced professionals in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading international systematic trading firm based in London is seeking a mid-level statistical arbitrage quantitative researcher/trader. The role involves designing and implementing systematic trading strategies, contributing to alpha research, and collaborating with experienced professionals.
Candidates should hold an advanced degree in a quantitative field and have programming experience in languages such as C++, C#, or Python.
This position offers competitive compensation including a PnL cut for bonuses, as well as relocation support.
Quant Researcher/Trader (Stat Arb) — Alpha & PnL Bonus employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher/Trader (Stat Arb) — Alpha & PnL Bonus
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quantitative research space. Use platforms like LinkedIn to connect with people at firms you're interested in, and don't be shy about asking for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects or any trading strategies you've developed. This is a great way to demonstrate your expertise in C++, C#, or Python and make you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your statistical knowledge and be ready to discuss your past experiences in detail. Practise coding challenges and be prepared to solve problems on the spot – it’s all part of the game!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates. Don’t miss out!
We think you need these skills to ace Quant Researcher/Trader (Stat Arb) — Alpha & PnL Bonus
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming experience in C++, C#, or Python. We want to see how you can apply these skills to design and implement trading strategies, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for someone who understands statistical arbitrage, so make sure to mention any relevant projects or experiences that showcase your expertise.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you’d be a great fit for our team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Radley James
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss statistical concepts and models. Make sure you can explain how you've applied these in past projects or roles, especially in relation to systematic trading strategies.
✨Show Off Your Coding Skills
Since programming is key for this role, be prepared to demonstrate your proficiency in C++, C#, or Python. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand.
✨Research the Firm
Understand the firm's trading strategies and recent market trends. This will not only help you answer questions more effectively but also show your genuine interest in the company and its operations.
✨Prepare Thoughtful Questions
Have a few insightful questions ready to ask your interviewers. This could be about their approach to alpha research or how they measure success in their trading strategies. It shows you're engaged and thinking critically about the role.