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- Tasks: Build and optimise trading tools using Python in a fast-paced environment.
- Company: Dynamic hedge fund in Central London with a focus on innovation.
- Benefits: Competitive salary, exposure to live trading, and collaborative culture.
- Why this job: Make a real impact on trading strategies and tools in a high-stakes environment.
- Qualifications: Strong Python skills and a background in STEM disciplines.
- Other info: Great opportunity for career growth and influence in trading technology.
The predicted salary is between 36000 - 60000 £ per year.
A systematic hedge fund in Central London is looking for a Quantitative Developer with strong Python engineering skills. The role offers significant exposure to live trading strategies, where you'll implement and optimise trading signals while collaborating closely with traders. Ideal candidates will thrive in a front-office environment and possess a solid academic background in STEM disciplines. This is an excellent opportunity to influence tooling and frameworks in a high-impact area of trading.
Python Quant Developer: Build Production Trading Tools employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quant Developer: Build Production Trading Tools
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at hedge funds or in quantitative roles. 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 portfolio showcasing your Python projects, especially those related to trading tools or algorithms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨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 often have exclusive listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Python Quant Developer: Build Production Trading Tools
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 if it relates to trading tools or quantitative analysis.
Tailor Your CV and Cover Letter: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Quant Developer role. Mention any relevant projects or experiences that align with live trading strategies and front-office environments.
Highlight Your STEM Background: Since we’re looking for candidates with a solid academic background in STEM disciplines, make sure to include your educational qualifications. If you’ve worked on any relevant projects during your studies, don’t forget to mention those!
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 in our Central London office!
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 prepared to discuss your experience with libraries commonly used in quantitative finance, like NumPy and pandas. Practising coding problems related to algorithm optimisation can also give you an edge.
✨Understand Trading Strategies
Familiarise yourself with various trading strategies and how they are implemented in a systematic hedge fund environment. Being able to discuss how you would optimise trading signals or improve existing tools will show that you’re not just a coder but someone who understands the business.
✨Showcase Your STEM Background
Since a solid academic background in STEM is crucial, be ready to talk about your studies and any relevant projects. Highlight any coursework or research that relates to quantitative analysis or financial modelling, as this will demonstrate your analytical capabilities.
✨Prepare for Front-Office Dynamics
Since the role involves close collaboration with traders, think about how you can communicate effectively in a fast-paced environment. Prepare examples of past experiences where you’ve worked in teams or dealt with high-pressure situations, as this will illustrate your ability to thrive in a front-office setting.
