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- Tasks: Own the research and backtesting framework while building Python tools for quant researchers.
- Company: Leading quant trading firm in London with a focus on innovation.
- Benefits: Market-leading compensation that reflects your impact on profits.
- Why this job: Get hands-on with trading and make a real difference in strategy development.
- Qualifications: Strong Python skills and a passion for quantitative trading.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 80000 - 100000 £ per year.
A leading quant trading firm in London is looking for a Senior Quantitative Developer to own the research and backtesting framework. You will build Python tools used by quant researchers, monitor production jobs, and collaborate on live strategy development. The ideal candidate will have strong Python skills and enjoy being closely involved with trading. Market-leading compensation will directly reflect your impact on profits.
Senior Quant Developer - Live Research & Backtesting employer: Blue Coast
Contact Detail:
Blue Coast Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Developer - Live Research & Backtesting
✨Tip Number 1
Network like a pro! Reach out to folks in the quant trading space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your Python skills! Create a small project or tool that showcases your abilities and share it on GitHub. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges online to get comfortable with problem-solving under pressure.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Quant Developer - Live Research & Backtesting
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in past projects, especially in relation to research and backtesting frameworks.
Demonstrate Your Trading Knowledge: Since this role is closely tied to trading, don’t shy away from sharing your experience or interest in trading strategies. We love candidates who are passionate about the field and can bring that enthusiasm to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at Blue Coast
✨Master Your Python Skills
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific projects where you've used Python for quantitative analysis or backtesting. Practising coding challenges can also help you demonstrate your technical prowess.
✨Know the Trading Landscape
Familiarise yourself with current trends in quantitative trading and the specific strategies that the firm employs. Being able to discuss recent market movements or innovations in trading technology will show your genuine interest and understanding of the field.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. We recommend practising common algorithm and data structure problems, as well as being prepared to explain your thought process clearly during the interview.
✨Showcase Collaboration Skills
Since the role involves working closely with quant researchers and developers, be ready to share examples of how you've successfully collaborated in past projects. Highlight your communication skills and how you’ve contributed to team success in a fast-paced environment.