At a Glance
- Tasks: Build low-latency trading systems and optimise execution algorithms.
- Company: Leading quantitative firm in London with a focus on innovation.
- Benefits: Competitive salary from $180K to $2M+, remote work options.
- Why this job: Shape the future of trading in a rapidly evolving industry.
- Qualifications: Knowledge of financial markets and trading systems required.
- Other info: Join a dynamic team with exciting growth opportunities.
The predicted salary is between 108000 - 180000 £ per year.
A leading quantitative firm in London is looking for top-tier developers to build low-latency trading systems, develop quantitative libraries, and optimize execution algorithms. Candidates should possess knowledge of financial markets and trading systems. The pay ranges from $180K to $2M+ based on experience, with opportunities for remote work. Join us to shape the future of trading and be part of a rapidly evolving industry.
Ultra-Low Latency Quant Developer – Remote/London employer: Fionics
Contact Detail:
Fionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ultra-Low Latency Quant Developer – Remote/London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to low-latency systems and quantitative libraries. We want to see what you can do, so make it easy for us to be impressed!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of financial markets. We recommend practicing with mock interviews or coding challenges to get you in the zone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Ultra-Low Latency Quant Developer – Remote/London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills and experience with low-latency systems in your application. We want to see how you can contribute to building those cutting-edge trading systems!
Know Your Stuff: Demonstrate your understanding of financial markets and trading systems. We’re looking for candidates who can not only code but also grasp the nuances of the industry we operate in.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Ultra-Low Latency Quant Developer role. We appreciate when candidates take the time to align their experiences with what we’re looking for.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Fionics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and technologies relevant to low-latency systems. Brush up on your knowledge of C++, Python, or any other languages mentioned in the job description. Being able to discuss specific projects or challenges you've faced will show your expertise.
✨Understand Financial Markets
Since this role involves trading systems, it’s crucial to have a solid grasp of financial markets and trading strategies. Familiarise yourself with concepts like market microstructure and execution algorithms. This will help you answer questions confidently and demonstrate your passion for the industry.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practice solving problems related to algorithm optimisation and low-latency design. Websites like LeetCode or HackerRank can be great resources for honing your skills before the big day.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you approach problem-solving in high-pressure situations. Use examples from past experiences where you successfully optimised a system or resolved a critical issue. This will highlight your ability to think on your feet and adapt to the fast-paced nature of trading.