At a Glance
- Tasks: Develop and optimise high-performance trading systems with real-time pricing and risk management.
- Company: Global electronic trading firm at the forefront of market technology.
- Benefits: Competitive salary, dynamic work environment, and rapid career advancement.
- Other info: Work alongside top talent in a fast-paced, innovative atmosphere.
- Why this job: Join a team tackling unique engineering challenges in live markets from day one.
- Qualifications: Strong background in quantitative engineering and systems optimisation.
The predicted salary is between 60000 - 80000 £ per year.
You will work on the production systems that make markets globally. This is a quantitative engineering role operating at the intersection of:
- Real-time pricing and risk
- Market microstructure and execution
- Distributed systems at extreme throughput
- Machine learning inference in hard latency budgets
The engineering problems here are not theoretical. Every microsecond of latency has a measurable impact on fill quality and market share. Every system failure has a direct P&L consequence. The expectations on code quality, system design, and operational discipline are correspondingly serious.
What You Could Be Working On
- Low-Latency Execution Infrastructure
Building and optimising the execution path from signal to resting order on exchange. This means: - Kernel bypass networking: DPDK, RDMA, custom NIC drivers
- FPGA-accelerated order routing and market data processing
- Co-location infrastructure across major global venues
- CPU affinity, IRQ pinning, and memory layout optimisation
- Nanosecond-resolution profiling and latency measurement
- Exchange connectivity — FIX, native binary protocols, drop copy
- Real-Time Pricing and Risk Systems
Building the systems that generate, update, and hedge quotes across millions of instruments simultaneously. This includes: - High-throughput market data normalisation and distribution
- Greeks computation and dynamic hedge execution
- Portfolio-level risk aggregation with sub-millisecond refresh rates
- Position and exposure management under continuous market movement
- ML Inference in Production
Deploying machine learning models into live trading systems where latency and determinism are hard constraints. The challenge is not model development — it is operating ML at the execution layer: - Serving inference within microsecond or low-millisecond budgets
- GPU and CPU inference pipeline optimisation
- Feature computation from live order book and trade data
- Model versioning and live rollover without trading interruption
Why Engineers Join
- The attraction is the technical environment itself.
- Problems that exist at no other employer; the scale, latency requirements, and market exposure are unique at the systems level.
- Direct exposure to production consequences; your work runs in live markets from day one.
- Intellectual peers drawn from the top of systems engineering, mathematics, and physics globally.
- Engineering is not a support function; it is the core competency of the business.
Strong engineers are given ownership of critical systems quickly. You'll need to understand your system end to end and be accountable for it in production. If you are an engineer who wants to work at the frontier of what is technically possible in production systems at a firm that is definitely operating at a global scale, this is one of a very small number of roles in the market that deliver on that.
Quantitative Developer | Global Electronic Trading Firm | London Engineering at the Frontier of[...] employer: Mondrian Alpha
As a Quantitative Developer at our Global Electronic Trading Firm in London, you will be immersed in a cutting-edge technical environment that challenges the limits of engineering and market execution. We pride ourselves on fostering a culture of innovation and accountability, where strong engineers are empowered to take ownership of critical systems from day one. With direct exposure to live markets and opportunities for rapid professional growth, this role offers a unique chance to work alongside intellectual peers in a dynamic and rewarding setting.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer | Global Electronic Trading Firm | London Engineering at the Frontier of[...]
✨Tip Number 1
Network, network, network! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. You never know who might have a lead on that perfect Quantitative Developer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to low-latency systems or machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the systems you'll be working with. Practice solving problems under time constraints to mimic the real-world pressure of trading environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers who want to tackle unique challenges in electronic markets. Your dream job could be just a click away!
We think you need these skills to ace Quantitative Developer | Global Electronic Trading Firm | London Engineering at the Frontier of[...]
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Quantitative Developer. Highlight your experience with low-latency systems, machine learning, and any relevant programming languages or technologies. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about electronic trading and how your background makes you a perfect fit for our team. Be genuine and let your enthusiasm show – we love that!
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We’re interested in seeing how you’ve tackled engineering challenges, especially those related to latency and system performance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at the forefront of electronic markets!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like DPDK, RDMA, and FPGA. Brush up on your knowledge of low-latency systems and be ready to discuss how you've tackled similar challenges in the past.
✨Demonstrate Problem-Solving Skills
Prepare to showcase your analytical thinking by discussing real-world problems you've solved. Think about scenarios where you had to optimise performance or reduce latency, and be ready to explain your thought process and the impact of your solutions.
✨Understand Market Dynamics
Familiarise yourself with market microstructure and execution strategies. Being able to talk intelligently about how your work can affect fill quality and market share will show that you understand the business side of engineering in trading.
✨Showcase Your Ownership Mindset
This role requires accountability for production systems. Be prepared to discuss instances where you took ownership of a project or system, detailing how you ensured its success and managed any challenges that arose during its lifecycle.
