Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a top HFT team to develop and optimize trading platforms.
- Company: Work with a leading hedge fund known for its success in high-frequency trading.
- Benefits: Enjoy market-leading compensation and a hybrid work environment.
- Why this job: Collaborate with talented traders and enhance your skills in a dynamic setting.
- Qualifications: 3+ years coding experience, strong Python skills, and a degree in a quantitative field.
- Other info: Experience with machine learning and C++ is a plus!
The predicted salary is between 54000 - 84000 £ per year.
Our client, a Leading High-Frequency Trading Firm, is looking to hire a skilled Quantitative Developer/Python Engineer to collaborate directly with a successful HFT team.
This role gives you the opportunity to join one of the world’s most successful hedge funds, collaborate with an exceptionally talented team operating in a hybrid approach, and earn market-leading compensation packages.
Responsibilities:
- Develop, upgrade, and optimize real-time HFT trading platform
- Work closely with experienced Traders and help them build out their new trading strategies
- Build analytical tools to help manage portfolio risk, pre/post trading analysis and performance attribution
- Help on-board new instruments and backtest existing ideas on new instruments
- Monitor system health and implement tools and techniques to enhance trading activity
Minimum Requirements:
- 3+ years of hands-on coding experience building real-time trading systems
- Strong Python experience. Machine Learning libraries experience is a plus
- C++ background is advantageous.
- Experience building production infrastructure for signal generation, backtesting and execution
- Bachelors/Masters in Computer Science, Engineering, or related Quantitative discipline
#J-18808-Ljbffr
Quantitative Developer - HFT employer: Capital Markets Recruitment
Contact Detail:
Capital Markets Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - HFT
✨Tip Number 1
Make sure to showcase your hands-on coding experience in real-time trading systems during the interview. Be prepared to discuss specific projects you've worked on and the technologies you used, especially in Python.
✨Tip Number 2
Familiarize yourself with the latest trends in high-frequency trading and be ready to discuss how they can impact trading strategies. This will demonstrate your passion for the field and your ability to think critically about market dynamics.
✨Tip Number 3
If you have experience with machine learning libraries, prepare to explain how you've applied them in trading contexts. Highlight any analytical tools you've built that relate to portfolio risk management or performance attribution.
✨Tip Number 4
Network with professionals in the HFT space, whether through LinkedIn or industry events. Building connections can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Quantitative Developer - HFT
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities and requirements of the Quantitative Developer position. Highlight your relevant experience in real-time trading systems and Python programming in your application.
Tailor Your CV: Customize your CV to emphasize your hands-on coding experience, particularly in Python and any exposure to C++. Include specific projects or achievements that demonstrate your skills in building trading systems and using machine learning libraries.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative development and high-frequency trading. Mention how your background aligns with the firm's goals and how you can contribute to their success.
Highlight Relevant Projects: In your application, include details about any relevant projects you've worked on, especially those involving portfolio risk management, backtesting, or trading strategy development. This will help illustrate your practical experience and problem-solving abilities.
How to prepare for a job interview at Capital Markets Recruitment
✨Showcase Your Coding Skills
Be prepared to discuss your hands-on coding experience in Python and any relevant projects you've worked on. Highlight specific examples where you've built or optimized real-time trading systems.
✨Demonstrate Your Understanding of HFT
Familiarize yourself with high-frequency trading concepts and strategies. Be ready to explain how you can contribute to the development and optimization of their trading platform.
✨Discuss Machine Learning Applications
If you have experience with machine learning libraries, be sure to mention it. Discuss how you could apply these techniques to enhance trading strategies or risk management.
✨Prepare for Technical Questions
Expect technical questions related to Python, C++, and system design. Brush up on your knowledge of production infrastructure for signal generation and backtesting to impress the interviewers.
