At a Glance
- Tasks: Build and optimise high-performance trading systems for digital assets.
- 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 engineering challenges and collaboration with traders.
- 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 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.
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 employer: Forward Role Recruitment
Join a leading institutional digital asset market maker in London, where innovation meets performance in a dynamic work culture. As a Quantitative Developer, you'll benefit from a hybrid working model, competitive compensation, and opportunities for professional growth while collaborating with top-tier traders and quant teams. Embrace the challenge of building high-performance systems in a fast-paced environment that values your expertise and fosters continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer
✨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 to get you in the zone.
✨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, so don’t hold back!
✨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 are ready to dive into the world of digital assets and trading.
We think you need these skills to ace Quantitative Developer
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 problem-solving skills can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any high-performance systems or trading-related projects, make sure to mention them. We love seeing real-world applications of your skills, especially in fast-paced environments!
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’s super easy!
How to prepare for a job interview at Forward Role Recruitment
✨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. Be ready to discuss how you've applied these technologies in real-world scenarios, especially in trading systems.
✨Understand the Trading Environment
Familiarise yourself with the concepts of high-frequency trading (HFT) and market making. Knowing how trading systems operate under pressure will help you answer questions more effectively and show that you understand the stakes involved.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your problem-solving skills. Practice coding challenges related to backend services and real-time data processing. Being able to demonstrate your thought process will impress the interviewers.
✨Communicate with Confidence
When discussing your past experiences, be clear and concise. Use specific examples to illustrate your contributions to projects, especially those that improved performance or reliability in trading systems. This will showcase your hands-on experience and engineering fundamentals.
