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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 Researcher/ Trader employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher/ Trader
✨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 Researcher/ Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in statistical arbitrage and systematic trading. We want to see how your skills in programming and working with large data sets can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about quantitative research and trading, and how your background aligns with the role. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any projects related to alpha research or automated market making, make sure to mention them. We love seeing practical examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands quickly. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Radley James
✨Know Your Numbers
As a Quantitative Researcher/Trader, you’ll need to be comfortable with data. Brush up on your statistical knowledge and be ready to discuss how you've used data in past projects. Be prepared to explain your thought process behind any models or strategies you've developed.
✨Showcase Your Programming Skills
Since programming is key for this role, make sure you can talk confidently about your experience with languages like Python, C++, or C#. Bring examples of projects where you’ve implemented algorithms or automated processes, and be ready to solve a coding challenge during the interview.
✨Understand Systematic Trading
Familiarise yourself with systematic trading concepts, especially around alpha research and risk management. Be prepared to discuss current trends in US equities intraday trading and how they might impact strategy development. Showing that you’re up-to-date will impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the firm’s trading strategies, team dynamics, and how they measure success. This not only shows your interest but also helps you gauge if the company is the right fit for you.