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- Tasks: Enhance trading infrastructure and develop systematic equities strategies using Python and R.
- Company: Leading hedge fund in London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative atmosphere with a focus on strategy performance.
- Why this job: Join a cutting-edge team and make an impact in the world of trading.
- Qualifications: 2-5 years of experience in quantitative development and strong Linux skills.
The predicted salary is between 60000 - 80000 £ per year.
Selby Jennings is looking for a Quantitative Developer to enhance trading infrastructure at a leading hedge fund in London. This role supports the Portfolio Manager in developing and optimizing systematic equities strategies using Python and R.
Candidates should have 2-5 years of relevant experience and strong skills in a Linux environment. The position involves:
- Building trading tools
- Supporting strategy performance
- Working closely with the trading team in a dynamic setting
Quantitative Developer – Stat‑Arb Trading Desk employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer – Stat‑Arb Trading Desk
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in hedge funds or trading. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and R projects, especially any trading tools or strategies you've developed. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Linux skills and quantitative methods. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Developer – Stat‑Arb Trading Desk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, R, and Linux. We want to see how your skills align with the role of a Quantitative Developer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about systematic equities strategies and how you can contribute to our trading desk. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems in a trading or quantitative context. We’re looking for developers who can think on their feet and adapt to a dynamic 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 you’re keen to join our team!
How to prepare for a job interview at Selby Jennings
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and R, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages, especially in a Linux environment.
✨Understand the Trading Landscape
Familiarise yourself with systematic equities strategies and how they work. Being able to discuss recent trends in trading and how they might impact the hedge fund will show that you’re not just a tech whiz but also understand the business side of things.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice coding problems or algorithm questions that relate to trading tools or performance optimisation. This will help you demonstrate your analytical skills and quick thinking.
✨Show Your Team Spirit
Since you'll be working closely with the trading team, highlight any past experiences where collaboration was key. Share examples of how you’ve successfully worked in dynamic environments and contributed to team goals.