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 trading and collaborative culture.
- 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
Qantative Developer (OTC Pricing) employer: Forward Role
Contact Detail:
Forward Role Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Qantative Developer (OTC Pricing)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to low-latency systems or trading algorithms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of distributed systems. Practice common algorithms and data structures, and be ready to discuss your past experiences in trading systems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come in.
We think you need these skills to ace Qantative Developer (OTC Pricing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Quant Developer. Highlight your experience with Java, Python, or Rust, and any relevant projects that showcase your skills in low-latency trading systems.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about trading systems and how your background aligns with our needs. Be specific about your experience with real-time market data and execution systems.
Showcase Problem-Solving Skills: In your application, give examples of complex engineering problems you've solved, especially in high-pressure environments. We love seeing how you approach challenges and improve system performance.
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, you can check out more about our company culture while you’re there!
How to prepare for a job interview at Forward Role
✨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 nuances 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 think on your feet and demonstrate your engineering fundamentals is key.
✨Show Your Collaborative Spirit
Since you'll be working closely with traders and quant teams, highlight any past experiences where collaboration led to successful outcomes. Discuss how you can contribute to systematic strategies and tooling, showcasing your ability to work in a team.