At a Glance
- Tasks: Build and optimise high-performance trading systems for digital assets.
- Company: Leading institutional market maker in the digital asset space.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on solving complex engineering challenges.
- Why this job: Join a fast-paced environment where your work directly impacts trading performance.
- Qualifications: Experience in Java, Python, or Rust; background in trading systems preferred.
The predicted salary is between 60000 - 80000 € 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.
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
If you like building systems where performance actually matters, and where “fast” still somehow isn’t fast enough, this is one worth a look.
Quantitative Developer in London employer: Forward Role Recruitment
As a leading institutional digital asset market maker, we pride ourselves on fostering a dynamic and innovative work culture that thrives on collaboration and excellence. Our London-based team enjoys the unique advantage of working in a hybrid environment, allowing for flexibility while engaging in cutting-edge projects that push the boundaries of low-latency trading systems. We are committed to employee growth, offering opportunities to work closely with traders and quant teams, ensuring that every member can develop their skills in a fast-paced, rewarding atmosphere where performance truly matters.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer in 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
Prepare for those technical interviews! Brush up on your coding skills in Java, Python, or Rust. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 3
Showcase your projects! If you’ve built any trading systems or worked on low-latency applications, make sure to highlight them. We love seeing practical examples of your skills in action.
✨Tip Number 4
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 fit the bill.
We think you need these skills to ace Quantitative Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Java, Python, or Rust, and any relevant trading systems you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 background makes you a perfect fit for 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 come up with innovative solutions!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Forward Role Recruitment
✨Know Your Tech Stack
Make sure you brush up on your Java, Python, and Rust skills. Be ready to discuss how you've used these languages in past projects, especially in low-latency environments. They’ll want to see that you can not only code but also optimise performance.
✨Understand the Trading Landscape
Familiarise yourself with trading systems, HFT, and market making. Knowing how these systems operate under pressure will help you answer questions more effectively and show that you’re genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges related to distributed systems and low-latency design. Being able to think on your feet is crucial in this fast-paced environment.
✨Show Your Collaborative Spirit
Since you'll be working closely with traders and quant teams, highlight any experience you have in collaborative projects. Discuss how you’ve communicated complex ideas to non-technical stakeholders, as teamwork is key in this role.
