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- 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: Shape the future of trading with cutting-edge technology.
- Qualifications: 2+ years in quant development or HFT, expert C++/Python skills.
- Other info: Flexible work options: London or remote, with excellent career growth.
The predicted salary is between 108000 - 180000 £ per year.
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:
- 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.
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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 lookout for opportunities. Sometimes, a friendly nudge can lead to a hidden gem of a job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving low-latency systems or trading algorithms. 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 C++ and Python skills. Practice coding challenges that focus on algorithm optimisation and system design to impress those hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a range of exciting roles waiting for talented developers like you. Plus, it’s a great way to get noticed by the right people in the industry.
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 low-latency trading systems and optimising execution algorithms.
Know Your Stuff: Demonstrate your understanding of financial markets and trading systems. We’re looking for candidates who can bring their quant dev or HFT experience to the table, so don’t hold back on sharing relevant projects.
Tailor Your Application: Customise your CV and cover letter to reflect the job description. We appreciate when applicants take the time to align their experiences with what we’re looking for in a Quantitative Developer.
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 kickstart those confidential discussions about your future with us!
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 the Financial Landscape
Familiarise yourself with financial markets and trading systems. Being able to discuss recent trends or innovations in quantitative trading will show that you’re not just a developer but also someone who understands the industry.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially in low-latency environments. Practice common algorithmic problems and think about how you would optimise execution algorithms in real-world scenarios.
✨Showcase Your Past Projects
Be ready to discuss your previous work experience, particularly any projects related to quantitative development or high-frequency trading. Highlight specific challenges you faced and how you overcame them, as this will demonstrate your hands-on experience.
