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- Tasks: Implement and optimise trading signals using Python in a fast-paced environment.
- Company: A leading systematic hedge fund based in Central London.
- Benefits: Competitive salary, dynamic team environment, and opportunities for professional growth.
- Why this job: Make a real impact on live trading strategies and tools.
- Qualifications: Strong Python skills and a solid STEM academic background.
- Other info: Collaborate closely with traders in a high-impact trading setting.
The predicted salary is between 36000 - 60000 £ per year.
A systematic hedge fund in Central London is seeking a Quantitative Developer to implement and optimize trading signals. The ideal candidate will have strong Python engineering skills and a solid academic background in STEM disciplines. This role offers the opportunity to influence tools and frameworks in a high-impact trading environment. Experience in a front-office setting is preferred. Join a dynamic team that collaborates closely with traders for live trading strategies.
Python Quant Developer: Live Trading Tooling employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quant Developer: Live Trading Tooling
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work in hedge funds. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially any related to trading or quantitative analysis. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding trading concepts. Practice common algorithm questions and be ready to discuss how you've optimised trading signals in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and passionate about joining our team. Plus, it makes it easier for us to keep track of your application!
We think you need these skills to ace Python Quant Developer: Live Trading Tooling
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python engineering skills in your application. We want to see how you've used Python in real-world scenarios, especially in trading or quantitative analysis.
Tailor Your CV and Cover Letter: Don’t just send a generic CV! Tailor it to the job description by emphasising your academic background in STEM and any relevant experience in a front-office setting. We love seeing candidates who take the time to connect their skills to our needs.
Be Clear About Your Impact: In your application, share specific examples of how you've influenced tools or frameworks in previous roles. We’re looking for candidates who can demonstrate their impact in a high-stakes environment, so don’t hold back!
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 this exciting opportunity with our dynamic team.
How to prepare for a job interview at Durlston Partners
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to solve complex problems, especially in a trading context. Practising coding challenges can also help you demonstrate your technical prowess.
✨Understand Trading Signals
Familiarise yourself with trading signals and how they are implemented in a live trading environment. Being able to discuss specific strategies or tools you've worked with will show that you have the practical knowledge needed for the role. Don't hesitate to ask questions about their current systems during the interview.
✨Showcase Your STEM Background
Highlight your academic achievements in STEM disciplines. Be prepared to explain how your education has equipped you with the analytical skills necessary for quantitative development. Relate your coursework or projects to real-world applications in finance or trading.
✨Collaborative Mindset
Since this role involves working closely with traders, emphasise your teamwork skills. Share examples of how you've successfully collaborated in past roles, particularly in high-pressure environments. This will demonstrate that you're not just a tech whiz but also a great team player.
