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- Tasks: Implement research studies and develop algorithms for trading strategies.
- Company: Dynamic trading firm in London with a focus on innovation.
- Benefits: Mentorship, training opportunities, and a collaborative work environment.
- Why this job: Join a cutting-edge team and shape the future of trading technology.
- Qualifications: Bachelor's in Computer Science, strong C++ and Python skills, and knowledge of quantitative finance.
- Other info: Exciting career growth in a fast-paced, supportive atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
A diversified trading firm in London seeks a Research Engineer to join their systematic research team. The role involves implementing research studies, developing algorithms, and designing trading strategy simulation software.
Ideal candidates should have a Bachelor's degree in Computer Science, excellent skills in C++ and Python, and a strong understanding of quantitative finance mathematics. Opportunities for mentorship and training are provided.
Research Engineer: Quantitative Tech & Trading Systems in City of London employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer: Quantitative Tech & Trading Systems in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in C++ and Python. We love seeing real examples of what you can do, especially when it comes to algorithms and trading strategies.
✨Tip Number 3
Prepare for those interviews! Brush up on quantitative finance concepts and be ready to discuss your thought process behind your research studies. 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 seen by the right people. We’re excited to see what you bring to the table!
We think you need these skills to ace Research Engineer: Quantitative Tech & Trading Systems in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in C++ and Python, as well as any relevant experience in quantitative finance. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about systematic research and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects or research, make sure to include them in your application. We’re keen to see your practical experience and how you’ve applied your knowledge in real-world scenarios.
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 P2P
✨Know Your Tech Inside Out
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, and think about how you can apply them to develop algorithms or trading strategies.
✨Quantitative Finance Fundamentals
Since the role requires a strong understanding of quantitative finance mathematics, review key concepts and be prepared to explain how they relate to algorithm development. You might even want to prepare a few examples of how you've applied these concepts in past projects.
✨Showcase Your Research Experience
Be ready to talk about any research studies you've implemented. Highlight your problem-solving skills and how you approached challenges in your previous work. This will demonstrate your ability to contribute to their systematic research team.
✨Ask Insightful Questions
Prepare thoughtful questions about the firm's trading strategies and the technologies they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.