At a Glance
- Tasks: Build and optimise trading systems for real-time digital asset markets.
- Company: Leading institutional digital asset market maker with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with strong collaboration between traders and quant teams.
- Why this job: Join a fast-paced environment where milliseconds matter and make a real impact.
- Qualifications: Experience in Java, Python, or Rust; background in trading systems preferred.
The predicted salary is between 70000 - 90000 £ per year.
A leading institutional digital asset market maker is hiring an Exchange Trading Quant Developer to build and optimise the core systems behind its global trading infrastructure.
This is a hands‑on engineering role focused on real‑time trading systems, exchange connectivity, and low‑latency performance. You’ll work closely with traders and quant teams to improve execution quality, build scalable infrastructure, and ensure trading systems perform under serious market pressure, the kind where milliseconds quietly decide everything.
If you enjoy building high‑performance systems and solving complex distributed engineering problems in fast‑moving markets, this sits right in that sweet spot between quant, trading, and hardcore backend engineering.
What you’ll be doing:
- Building and optimising exchange trading and execution systems
- Improving latency, performance, and reliability across the trading stack
- Developing backend services for real‑time market data and order flow
- Working closely with traders and quants on systematic strategies and tooling
- Supporting and enhancing production trading infrastructure
What they’re looking for:
- Strong experience in Java, Python, and/or Rust
- Background in trading systems, HFT, market making, or electronic trading
- Solid understanding of distributed systems and low‑latency design
- Comfortable working in Linux and production environments
- Strong engineering fundamentals and problem‑solving ability
Low-Latency Quant Developer - Digital Assets Trading employer: Forwardrole
As a leading institutional digital asset market maker, we pride ourselves on fostering a dynamic and innovative work culture that thrives on collaboration and cutting-edge technology. Our London-based team enjoys a hybrid working model, competitive benefits, and ample opportunities for professional growth in the fast-paced world of digital assets trading. Join us to be part of a forward-thinking environment where your contributions directly impact our trading success and where every millisecond counts.
StudySmarter Expert Advice🤫
We think this is how you could land Low-Latency Quant Developer - Digital Assets Trading
✨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! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. We love seeing real-world applications of your coding prowess, especially in low-latency systems.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. We recommend using platforms that focus on low-latency and distributed systems to get you in the right mindset.
✨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’re always on the lookout for passionate candidates who are ready to dive into the world of digital assets trading.
We think you need these skills to ace Low-Latency Quant Developer - Digital Assets Trading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Java, Python, or Rust, and any background in trading systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about low-latency trading and how your engineering skills can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex engineering problems, especially in fast-paced environments. We love seeing how you approach challenges and find solutions!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Forwardrole
✨Know Your Tech Stack
Make sure you’re well-versed in Java, Python, and Rust. Brush up on your knowledge of low-latency design and distributed systems, as these are crucial for the role. Be ready to discuss specific projects where you've applied these technologies.
✨Understand the Trading Landscape
Familiarise yourself with trading systems, HFT, and market making. Knowing how these elements interact will help you speak confidently about your experience and how it relates to the company’s needs. Consider recent trends in digital assets to show you're engaged with the industry.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your problem-solving skills under pressure. Practice coding challenges or system design problems that reflect real-time trading scenarios. This will demonstrate your ability to think critically and perform in high-stakes situations.
✨Show Your Collaborative Spirit
Since you'll be working closely with traders and quants, highlight your teamwork skills. Share examples of how you've successfully collaborated on projects in the past, especially in fast-paced environments. This will show that you can thrive in their dynamic setting.
