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- Tasks: Own and enhance the backtesting framework while collaborating on live trading strategies.
- Company: Leading quant trading firm with a focus on innovation and direct impact.
- Benefits: Market-leading compensation, dynamic work environment, and opportunities for growth.
- Why this job: Make a real difference in trading strategies and see your impact reflected in your earnings.
- Qualifications: Strong Python skills, problem-solving mindset, and a passion for trading.
- Other info: Join a global team and thrive in a fast-paced, collaborative atmosphere.
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.
Financial Developer in London employer: Blue Coast
Contact Detail:
Blue Coast Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Developer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at quant trading firms. Use LinkedIn or attend finance meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to backtesting and simulation frameworks. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects, especially how they relate to live strategy development.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you land that dream job. Plus, it shows you're serious about joining the team and makes it easier for us to spot your application.
We think you need these skills to ace Financial Developer in London
Some tips for your application 🫡
Show Your Passion for Trading: When writing your application, let us see your enthusiasm for trading and quantitative development. Share any relevant experiences or projects that highlight your interest in the field. We want to know why you’re excited about this role!
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored specifically to the Financial Developer position. Highlight your Python skills and any experience with statistical libraries. We love seeing how your background aligns with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where necessary to make it easy for us to read. We appreciate a well-structured application that gets straight to the important stuff!
Apply Through Our Website: Don’t forget to apply 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 serious about joining our team!
How to prepare for a job interview at Blue Coast
✨Know Your Python Inside Out
Make sure you’re well-versed in Python, especially with statistical libraries. Brush up on your coding skills and be ready to demonstrate your knowledge through practical examples or coding challenges during the interview.
✨Understand the Trading Environment
Familiarise yourself with how quant trading works and the impact of backtesting frameworks on live strategies. Being able to discuss recent trends in the trading world will show your genuine interest and understanding of the role.
✨Prepare for Problem-Solving Questions
Expect to face some tricky problem-solving scenarios. Practice thinking aloud as you work through these problems, as interviewers often want to see your thought process and how you approach challenges.
✨Show Your Collaborative Spirit
Since this role involves working closely with a global research team, be prepared to discuss your past experiences in collaborative environments. Highlight any projects where teamwork led to successful outcomes, demonstrating your ability to thrive in a fast-paced setting.