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- Tasks: Develop and enhance high-performance trading systems while optimising execution algorithms.
- Company: Leading investment firm specialising in multi-strategy systematic trading.
- Benefits: Competitive compensation package and hybrid working model.
- Why this job: Join a dynamic team and make an impact in the fast-paced trading world.
- Qualifications: Bachelor's degree in Computer Science and proficiency in C++ or Python.
- Other info: Exciting opportunity for growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading investment firm specialising in multi-strategy systematic trading is seeking a Junior Quant Developer to join its front-office execution team in London. The firm integrates diverse strategies across asset classes to capitalise on market opportunities.
As a Junior Quant Developer (0–4 years of experience), you will:
- Develop and enhance high-performance trading systems.
- Optimise execution algorithms for systematic trading.
- Contribute to research and simulation frameworks.
Key Requirements
- Bachelor's degree in Computer Science or closely related field
- Interesting internship(s) within trading
- Proficiency in C++ or Python (the firm’s tech stack includes both).
- Strong problem-solving and analytical skills.
- Ability to work in a fast-paced, collaborative environment.
This opportunity offers a competitive compensation package and hybrid working model.
Junior Quantitative Developer in City of London employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ or Python. This gives you a chance to demonstrate your problem-solving abilities and technical know-how.
✨Tip Number 3
Prepare for interviews by brushing up on your algorithms and trading knowledge. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Junior Quantitative Developer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the Junior Quant Developer role. We want to see how your background in Computer Science and any trading internships can shine through!
Showcase Your Coding Skills: Since proficiency in C++ or Python is key, include specific projects or experiences where you've used these languages. We love seeing practical examples of your coding prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about systematic trading and how you can contribute to our team. Keep it engaging and personal – we want to get to know you!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Radley James
✨Know Your Tech Stack
Make sure you brush up on your C++ and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Understand Systematic Trading
Familiarise yourself with the basics of systematic trading and execution algorithms. Being able to discuss how these concepts apply to the role will show your genuine interest and understanding of the firm's operations.
✨Showcase Problem-Solving Skills
Prepare to tackle some technical questions or coding challenges during the interview. Practice common algorithm problems and be ready to explain your thought process clearly, as this will demonstrate your analytical abilities.
✨Emphasise Collaboration
Since the role involves working in a fast-paced, collaborative environment, think of examples from your past experiences where teamwork was key. Highlight how you contributed to group projects and how you handle feedback and communication.