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- Tasks: Design and implement systematic trading strategies with a focus on US equities.
- Company: Leading international systematic trading firm in London.
- Benefits: Top base salary, PnL cut for bonuses, and relocation support.
- Other info: Opportunity to work with large data sets and grow your career.
- Why this job: Make a real impact on trading strategies while working with industry experts.
- Qualifications: Advanced degree in a quantitative field and programming experience required.
The predicted salary is between 60000 - 80000 £ per year.
A leading international systematic trading firm is looking to bring on a talented mid level statistical arbitrage quantitative researcher/trader in London to help in the design, development, and implementation of systematic trading strategies. You’ll be working alongside experienced industry professionals on projects including alpha research, risk management, and portfolio construction, and will have the chance to see the direct impact of your work on the business. This will be US equities intraday trading.
Requirements:
- Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering etc.).
- Programming experience in one major language (C++, C#, Python etc.).
- Prior experience or internships in systematic alpha research is beneficial.
- Prior experience or internships in automated market making is beneficial.
- Experience working with large data sets.
This position will allow you to get a PnL cut for bonuses in addition to a top base salary. Happy to relocate people from around the world!
Quantitative Trader | Researcher employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader | Researcher
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or attend relevant meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving statistical arbitrage or systematic trading strategies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences with data sets and trading strategies.
✨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 are proactive about their job search.
We think you need these skills to ace Quantitative Trader | Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your quantitative skills and relevant experience. We want to see how your background in mathematics, physics, or computer science aligns with the role of a quantitative researcher/trader.
Showcase Your Programming Skills: Don’t forget to mention your programming experience! Whether it’s C++, C#, or Python, we’re keen to see how you’ve used these languages in past projects, especially in relation to systematic trading or alpha research.
Highlight Relevant Experience: If you’ve had internships or roles in systematic alpha research or automated market making, make sure to highlight those experiences. We love seeing candidates who have hands-on experience with large data sets and trading strategies.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you into our system quickly!
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, especially in relation to alpha research or market making.
✨Showcase Your Coding Skills
Since programming is key for this role, be prepared to talk about your experience with languages like Python or C++. You might even want to bring along a code sample or two that demonstrates your problem-solving abilities.
✨Understand the Market
Familiarise yourself with current trends in US equities and systematic trading strategies. Being able to discuss recent market movements or trading strategies will show your passion and understanding of the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the firm's trading strategies, risk management practices, and team dynamics. This not only shows your interest but also helps you gauge if the company is the right fit for you.