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- Tasks: Collaborate with researchers to enhance trading strategies and develop Python tools.
- Company: Leading trading firm in London with a focus on innovation.
- Benefits: Competitive salary, dynamic projects, and opportunities for ownership.
- Why this job: Join a top-performing team and make a real impact in finance.
- Qualifications: 2 years of Python experience and a degree in Mathematics or Computer Science.
- Other info: 80% project-focused role with excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
Our client, a leading trading firm, is seeking a Quantitative Developer (Python) to join one of their top-performing desks in London. This role offers the opportunity to work closely with quantitative researchers, making strong experience across the full software development lifecycle essential. Candidates from FAANG or financial services backgrounds will be considered. This position is 80% project-focused, allowing you to take ownership of initiatives and see them through to completion. A strong mathematical foundation combined with Python expertise will be highly advantageous.
Key Responsibilities
- Collaborate with on-site quantitative researchers to enhance trading strategies and improve P&L outcomes.
- Optimize and maintain the existing simulation/backtesting framework.
- Monitor and maintain quantitative research jobs.
- Develop Python-based tools to support trading strategy research.
Requirements
- 2 years of professional experience in Python within FAANG or finance.
- Degree in Mathematics or Computer Science.
- Proven experience working alongside researchers is a plus.
- Knowledge of C++ is desirable but not essential.
Quantitative Developer - Python in London employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to quantitative development, and don’t be shy about introducing yourself. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to trading strategies or quantitative analysis. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of algorithms. Practice common quantitative problems and be ready to discuss your past projects in detail. We want you to shine when it comes to demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities tailored for talented individuals like you. Keep an eye on our listings and make sure your application stands out by highlighting your relevant experience and passion for quantitative development.
We think you need these skills to ace Quantitative Developer - Python in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, especially in a quantitative context. Don't hold back on showcasing any relevant tools or frameworks you've worked with!
Math Matters!: Since a strong mathematical foundation is key for this role, be sure to mention any relevant coursework or projects that demonstrate your skills. We love seeing how you apply maths in practical scenarios, so share those experiences!
Collaboration is Key: This role involves working closely with quantitative researchers, so let us know about your teamwork experiences. Highlight any projects where you collaborated with others to enhance strategies or solve complex problems. We value team players!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Selby Jennings
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your past projects and how you've used Python to solve complex problems, especially in a quantitative context. Practising coding challenges can also help you demonstrate your proficiency.
✨Brush Up on Your Maths
Since a strong mathematical foundation is crucial for this role, revisit key concepts that are relevant to quantitative finance. Be ready to explain how you've applied mathematical principles in your previous work, particularly in relation to trading strategies or simulations.
✨Showcase Your Collaboration Skills
This role involves working closely with quantitative researchers, so be prepared to discuss your experience collaborating with others. Think of examples where you’ve successfully worked in a team to enhance a project or improve outcomes, and highlight your communication skills.
✨Understand the Trading Environment
Familiarise yourself with the trading firm's environment and the specific desk you'll be joining. Research their trading strategies and recent developments in the industry. This will not only show your interest but also allow you to ask insightful questions during the interview.
