At a Glance
- Tasks: Develop trading algorithms and systems for high-frequency trading.
- Company: Leading crypto trading firm with a focus on innovation.
- Benefits: Hybrid work options, competitive salary, and collaborative culture.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of crypto trading.
- Qualifications: Strong programming skills in Rust and experience in trading system development.
The predicted salary is between 43200 - 72000 € per year.
A leading crypto trading firm is seeking a Quantitative Developer (Low Latency) to join their newly formed trading team. This full-time role involves developing trading algorithms and building systems for low-latency, high-frequency trading.
Candidates should have strong programming skills, with a focus on Rust, and experience with trading system development.
The position offers hybrid work options for those based in London, Paris, or Singapore, with a commitment to collaboration and ownership within a dynamic environment.
Low-Latency Quant Developer (HFT) – Remote/EMEA employer: Flowdesk
Join a pioneering crypto trading firm that champions innovation and collaboration in the fast-paced world of high-frequency trading. With a strong emphasis on employee growth, you will have access to cutting-edge technology and the opportunity to develop your skills in a supportive environment. Enjoy the flexibility of hybrid work options in vibrant cities like London, Paris, or Singapore, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Low-Latency Quant Developer (HFT) – Remote/EMEA
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto trading space on LinkedIn or attend relevant meetups. Building connections can open doors that job boards can't.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving Rust and trading algorithms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on low-latency systems and algorithm design. Practice coding challenges that focus on performance and efficiency—this is key in high-frequency trading!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative. Plus, it helps us keep track of your application and get back to you faster.
We think you need these skills to ace Low-Latency Quant Developer (HFT) – Remote/EMEA
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills, especially in Rust. We want to see how your experience aligns with developing trading algorithms and systems for low-latency, high-frequency trading.
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Quant Developer role. We love seeing candidates who take the time to connect their experiences to what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Flowdesk
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Rust. Be prepared to discuss your previous projects and how you've tackled challenges in low-latency environments. The more you can demonstrate your technical prowess, the better!
✨Understand the Trading Landscape
Familiarise yourself with high-frequency trading concepts and the specific algorithms used in crypto trading. Showing that you understand the market dynamics and can apply your quantitative skills will set you apart from other candidates.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some coding challenges or case studies during the interview. Practice common algorithmic problems and think aloud as you solve them. This will not only showcase your skills but also your thought process.
✨Emphasise Collaboration and Ownership
Since the role involves working within a dynamic team, highlight your experience in collaborative projects. Share examples of how you've taken ownership of tasks and contributed to team success, as this aligns with the firm's values.
