Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build low-latency trading systems and develop quantitative libraries.
- Company: Join a leading quant firm with multiple immediate openings.
- Benefits: Competitive pay ranging from $180K to $2M+, based on experience.
- Why this job: Be at the forefront of trading technology and make a real impact.
- Qualifications: 2+ years in quant development or HFT, with expert C++/Python skills.
- Other info: Flexible work options in London or remote, with excellent career growth.
The predicted salary is between 108000 - 180000 £ per year.
Quantitative Developer – London/Remote
40+ leading quant firms seeking top-tier developers. Multiple immediate openings.
What you\’ll do:
- Build low-latency trading systems and infrastructure
- Develop quantitative libraries and research platforms
- Optimize execution algorithms and risk systems
Requirements:
- 2+ years quant dev or HFT experience
- Expert C++/Python skills
- Financial markets and trading systems knowledge
Our network:
Pay: $180K-$2M+ based on experience
Locations: London, Remote
Focus: Ultra-low latency, systematic platforms, research infrastructure
From prop trading tech to systematic fund platforms.
Ready to build the future of trading? Apply now for confidential discussions.
Quantitative Developer employer: Fionics
Contact Detail:
Fionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the quant space and let them know you're on the hunt for a Quantitative Developer role. You never know who might have the inside scoop on openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your C++ and Python projects, especially those related to low-latency trading systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of financial markets and trading systems. Practice coding challenges that focus on algorithms and optimising execution – this is where you can really shine!
✨Tip Number 4
Don't forget to apply through our website! We’ve got a range of opportunities with leading quant firms that are just waiting for top-tier developers like you. Get your application in and let's build the future of trading together!
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C++ and Python expertise in your application. We want to see how your skills can contribute to building those low-latency trading systems!
Know Your Stuff: Demonstrate your understanding of financial markets and trading systems. A solid grasp of these concepts will set you apart from the crowd and show us you're ready for the challenge.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Quantitative Developer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Apply Through Our Website: For a smooth application process, make sure to apply through our website. It’s the best way for us to receive your application and get the ball rolling on your journey with StudySmarter!
How to prepare for a job interview at Fionics
✨Know Your Tech Inside Out
Make sure you’re well-versed in C++ and Python, as these are crucial for the role. Brush up on your coding skills and be ready to tackle technical questions or even live coding challenges during the interview.
✨Understand Financial Markets
Familiarise yourself with the basics of financial markets and trading systems. Being able to discuss how your technical skills apply to real-world trading scenarios will impress the interviewers and show that you’re not just a coder but also a quant developer.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios that test your analytical skills. Practice common quantitative problems and think about how you would optimise execution algorithms or risk systems. This will demonstrate your ability to think critically under pressure.
✨Showcase Your Projects
Bring examples of your previous work, especially any low-latency trading systems or quantitative libraries you've developed. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your practical experience and problem-solving abilities.
