At a Glance
- Tasks: Design and implement systematic trading strategies that drive business impact.
- Company: Leading international systematic trading firm based in London.
- Benefits: Competitive salary with bonuses and opportunities for professional growth.
- Why this job: Make a significant impact in the fast-paced world of quantitative trading.
- Qualifications: Advanced degree in a quantitative field and programming experience required.
- Other info: Join a dynamic team and thrive in a challenging environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading international systematic trading firm is seeking a mid-level quantitative researcher/trader in London. The role focuses on designing and implementing systematic trading strategies, allowing significant impact on the business.
Ideal candidates will have:
- an advanced degree in a quantitative field
- programming experience
- at least 2 years in statistical arbitrage
The firm offers a competitive base salary and bonuses.
Quant Researcher & Stat Arb Trader — London (Bonuses) in England employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher & Stat Arb Trader — London (Bonuses) in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects or trading strategies. This is your chance to demonstrate your programming prowess and analytical thinking—make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your statistical arbitrage knowledge and be ready to discuss your past experiences. Practise common interview questions and think about how you can articulate your impact in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Quant Researcher & Stat Arb Trader — London (Bonuses) in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced degree and any relevant programming experience in your application. We want to see how your background aligns with the role of a Quant Researcher & Stat Arb Trader.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect your experience in statistical arbitrage and how it relates to the systematic trading strategies we’re looking for. This helps us see you as a perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly address the job requirements. No need for fluff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
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 in detail. Make sure you can explain your previous work with statistical arbitrage and how it has impacted trading strategies.
✨Showcase Your Programming Prowess
Be prepared to talk about your programming experience, especially in languages relevant to quantitative research like Python or R. Consider bringing examples of your code or projects that demonstrate your ability to implement trading strategies.
✨Understand the Firm's Strategies
Do your homework on the firm’s existing trading strategies and be ready to discuss how you could contribute. This shows genuine interest and helps you stand out as a candidate who is proactive and engaged.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice solving quantitative problems or case studies related to trading scenarios, as this will help you think on your feet during the interview.