At a Glance
- Tasks: Build and optimise trading systems for real-time market performance.
- Company: Leading digital asset market maker with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Other info: Exciting challenges in low-latency performance and distributed engineering.
- Why this job: Join a dynamic team and make an impact in fast-paced trading environments.
- 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, 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
Quantative Developer (OTC Pricing) employer: Forwardrole
As a leading institutional digital asset market maker, we pride ourselves on fostering a dynamic and innovative work environment in London. Our hybrid work culture promotes collaboration and flexibility, while our commitment to employee growth ensures that you will have ample opportunities to enhance your skills and advance your career in the fast-paced world of digital trading. Join us to be part of a team that values high-performance engineering and offers the chance to make a significant impact in the evolving landscape of financial technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quantative Developer (OTC Pricing)
✨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 or trading algorithms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of distributed systems. We recommend practicing with real-time problems and scenarios that reflect the fast-paced environment of trading.
✨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 are proactive about their job search!
We think you need these skills to ace Quantative Developer (OTC Pricing)
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 personal – we love to see your personality!
Showcase Your Projects:If you've worked on any high-performance systems or have experience with real-time data processing, make sure to mention those projects. We’re keen to see how you’ve tackled complex engineering challenges in the past.
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 Environment
Familiarise yourself with trading systems, high-frequency trading (HFT), and market making. Knowing how these elements interact will help you demonstrate your understanding of the industry and show that you can contribute effectively from day one.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your problem-solving skills under pressure. Practice coding challenges and system design problems related to real-time trading systems. This will help you showcase your engineering fundamentals and quick thinking.
✨Communicate with Confidence
During the interview, communicate clearly and confidently about your experiences. Engage with the interviewers by asking insightful questions about their trading strategies and systems. This shows your interest and helps build rapport with the team.
