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- Tasks: Own and enhance the backtesting framework while building essential Python tools for quants.
- Company: Leading quant trading firm with a strong focus on innovation and collaboration.
- Benefits: Market-leading compensation, direct impact on PnL, and dynamic work environment.
- Why this job: Be at the forefront of trading strategies and see your work directly influence profits.
- Qualifications: Proficient in production-grade Python and statistical libraries; problem-solving skills are key.
- Other info: Join a global team and enjoy excellent career growth opportunities.
The predicted salary is between 80000 - 100000 £ per year.
A trading team generating over $1 billion in annual PnL at one of the world's most established quant trading firms has tasked us with finding a Senior Quantitative Developer for their London research team. This isn't a central infra role. You'd be sitting inside the team itself, owning the research and backtesting framework that their quants use every day to develop and refine live strategies. Direct PnL impact. You see it. You feel it in your comp.
At the biggest shops in this space, you can spend years building tools that never get near a live strategy. This is the opposite of that.
What you'd be doing:
- Own and iterate on the simulation and backtesting framework
- Build Python tooling used daily by on-site quant researchers
- Monitor and maintain research jobs in production
- Collaborate with a global research team on live strategy development
What they want:
- Production-grade Python, strong with statistical libraries
- Sharp problem solver, comfortable moving fast in a collaborative environment
- C++ or scripting a plus, not a requirement
- Someone who genuinely wants to be close to the trading
Comp is market-leading for prop trading and reflects exactly how close you are to the PnL.
Quantitative Developer in City of London employer: Blue Coast
Contact Detail:
Blue Coast Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the quant trading space on LinkedIn or at industry events. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source tools, make sure to highlight them. This is your chance to demonstrate your Python prowess and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your statistical libraries and coding challenges. Practice makes perfect, so get comfortable with the types of problems you might face in a fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who want to be part of a dynamic team. Your next big opportunity could be just a click away!
We think you need these skills to ace Quantitative Developer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any statistical libraries you've used. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We’re looking for sharp problem solvers who can thrive in a fast-paced environment, so let us know how you’ve made an impact!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Blue Coast
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with statistical libraries. Be ready to discuss specific projects where you've used these tools and how they contributed to your team's success.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical problems during the interview. Think about past challenges you've faced and how you approached them. Being able to articulate your thought process will impress the interviewers.
✨Understand the Trading Environment
Familiarise yourself with the basics of quantitative trading and how your role as a developer fits into the bigger picture. Showing that you understand the impact of your work on PnL will demonstrate your commitment to the team.
✨Be Ready to Collaborate
Since this role involves working closely with quants, be prepared to discuss how you've successfully collaborated in the past. Highlight any experiences where teamwork led to improved outcomes or innovative solutions.