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- Tasks: Develop high-performance trading systems using Python for a leading hedge fund.
- Company: Globally renowned hedge fund with a focus on innovation.
- Benefits: Competitive compensation based on skills and experience.
- Why this job: Join a top-tier team and make an impact in systematic trading.
- Qualifications: Strong mathematical skills and proven investment management experience.
- Other info: Office-based role in London with exciting career prospects.
The predicted salary is between 48000 - 84000 £ per year.
A leading recruitment agency is seeking a highly skilled Quant Developer for a globally renowned hedge fund. This role involves developing high-performance trading systems and requires expertise in Python and a solid understanding of systematic trading. The position is fully office-based in London and offers competitive compensation based on skills and experience. Ideal candidates must have strong mathematical skills and proven experience in the investment management sector.
Senior Quant Developer: Cross-Asset Systematic Trading in London employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Developer: Cross-Asset Systematic Trading in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and systematic trading. This will give you an edge and demonstrate your expertise to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your mathematical skills and understanding of trading systems. Practice common quant interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace Senior Quant Developer: Cross-Asset Systematic Trading in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and any relevant experience in systematic trading. We want to see how your skills can contribute to our high-performance trading systems!
Math Matters: Since strong mathematical skills are a must, don’t shy away from showcasing any projects or experiences that demonstrate your quantitative abilities. We love numbers as much as you do!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the role. We appreciate when candidates take the time to align their experiences with what we’re looking for.
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 it gets into the right hands quickly!
How to prepare for a job interview at Bonhill Partners
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss specific projects where you've used Python to develop trading systems, and be ready to solve coding challenges on the spot.
✨Understand Systematic Trading Concepts
Familiarise yourself with the principles of systematic trading. Be ready to explain how you’ve applied these concepts in previous roles, and think about how they relate to the hedge fund's strategies.
✨Showcase Your Mathematical Skills
Since strong mathematical skills are a must for this role, prepare to discuss relevant mathematical concepts and how you've used them in your work. Consider bringing examples of how you've applied these skills in real-world scenarios.
✨Research the Hedge Fund
Do your homework on the hedge fund you're interviewing with. Understand their investment strategies, recent news, and market position. This will not only help you tailor your answers but also show your genuine interest in the role.
