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For Companies At a Glance
- Tasks: Monitor live trading, manage execution, and build trading models in Python/C++.
- Company: A dynamic proprietary trading firm expanding into traditional markets.
- Benefits: Competitive salary, hands-on experience, and opportunities for growth.
- Why this job: Join a fast-paced environment and make an impact in high-frequency trading.
- Qualifications: Experience in live trading and strong skills in Python or C++.
- Other info: Ideal for those looking to thrive in a collaborative, build-phase setting.
The predicted salary is between 36000 - 60000 £ per year.
A well-capitalized proprietary trading firm expanding into traditional markets is hiring an Equities Trader to help build and operate strategies at the intersection of HFT and MFT.
Responsibilities
- Monitor and manage live trading, including screen-watching and execution oversight
- Support intraday and high-frequency strategies in production
- Build and maintain trade models and analytics in Python/C++
- Debug strategy and infrastructure issues and escalate when needed
- Contribute to pricing and execution improvements, particularly in less liquid names/ETFs
Profile Sought
- Experience overseeing live trading, not a pure researcher profile
- Background in HFT or intraday equities trading (prop shop or bank)
- Could suit candidates from cash equities stat arb / market making desks at banks or prop firms
- Comfortable in a hands-on, fast-moving, build-phase environment
Requirements
- Strong Python or C++ for modelling and analysis
- Good understanding of US equity market structure
- Experience with cash equities strategies in production
- Able to start within ~9 months (shorter preferred)
Nice to Have
- ETF pricing or stat arb exposure
- Prior experience in small teams or early-stage trading builds
Quantitative Trader employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader
✨Tip Number 1
Network like a pro! Reach out to your connections in the trading world, especially those who work in HFT or equities. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python or C++, create a small project or model that demonstrates your abilities. Share it on platforms like GitHub and mention it during interviews to stand out from the crowd.
✨Tip Number 3
Stay updated on market trends! Follow financial news and join trading forums to keep your finger on the pulse of the industry. This knowledge will not only help you in interviews but also show your passion for the field.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your hands-on experience in live trading and your ability to thrive in fast-paced environments.
We think you need these skills to ace Quantitative Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in live trading and any relevant skills in Python or C++. We want to see how your background aligns with our needs, so don’t be shy about showcasing your strengths!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Quantitative Trader role. Share specific examples of your experience in HFT or intraday trading, and let your passion for the industry shine through!
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've debugged strategy issues or improved trading models. We love candidates who can think on their feet and tackle challenges head-on, especially in a fast-paced environment.
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 you’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Radley James
✨Know Your Trading Strategies
Make sure you can discuss your experience with high-frequency trading (HFT) and intraday equities trading in detail. Be prepared to explain specific strategies you've used, how you've monitored live trading, and any challenges you've faced.
✨Showcase Your Technical Skills
Since strong Python or C++ skills are crucial for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so brush up on your modelling and analysis techniques before the interview.
✨Understand Market Structure
Familiarise yourself with US equity market structure and be prepared to discuss how it impacts trading strategies. This knowledge will show that you’re not just a coder but also understand the trading environment.
✨Be Ready for Fast-Paced Questions
Given the hands-on, fast-moving nature of the role, expect rapid-fire questions about your past experiences and decision-making processes. Practice articulating your thought process clearly and concisely to demonstrate your ability to thrive under pressure.
