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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 in London 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 in 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 often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of Python projects, make sure to highlight them. Share your GitHub link during interviews to demonstrate your coding chops and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges that are relevant to quant development. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨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. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Quant Developer - Live Research & Backtesting in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in past projects, especially in relation to research and backtesting frameworks.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to our specific role. Mention your experience with quant trading and how it aligns with what we do at StudySmarter.
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 relevant to the Senior Quant Developer role.
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 without any hiccups!
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. Showing that you understand the market dynamics and how they relate to the firm's operations will impress the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to research frameworks and backtesting methodologies. Prepare to explain your thought process and problem-solving approach, as this will showcase your analytical skills and ability to contribute to live strategy development.
✨Show Your Collaborative Spirit
Since the role involves collaboration with quant researchers, be ready to discuss your experience working in teams. Highlight instances where you've successfully collaborated on projects, as this will demonstrate your ability to work well in a dynamic environment.