At a Glance
- Tasks: Engineer ultra-low-latency systems and real-time pricing for global markets.
- Company: Leading global electronic trading firm in London.
- Benefits: Competitive salary, dynamic work environment, and rapid career advancement.
- Other info: Work with top-tier engineers and take ownership of critical systems.
- Why this job: Join a team tackling unique engineering challenges with real-world impact.
- Qualifications: Strong background in systems engineering, mathematics, or physics.
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:
- Ultra-low-latency systems engineering
- 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
- Real-time options pricing engines — Black-Scholes, local vol, stochastic vol models
- 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
- Feedback loops for real-time model performance monitoring
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 Electronic Markets 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 systems engineering and market execution. We pride ourselves on fostering a culture of innovation and accountability, where engineers are empowered to take ownership of critical systems from day one, ensuring direct impact on live markets. With unparalleled opportunities for professional growth and collaboration with top-tier talent, this role offers a unique chance to work at the forefront of electronic trading technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer | Global Electronic Trading Firm | London Engineering at the Frontier of Electronic Markets
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, or even online webinars. Chat with folks in the field and make connections that could lead to job opportunities. Remember, it’s not just about what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to low-latency systems or machine learning. 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 the latest trends in quantitative development. Practice solving problems under time constraints to mimic real interview conditions. We want you to shine!
✨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 Quantitative Developer | Global Electronic Trading Firm | London Engineering at the Frontier of Electronic Markets
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, real-time pricing, and any relevant machine learning projects. We want to see how your skills align with the unique challenges we face.
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 specific about what excites you about the role and our company.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills in your application. Mention any experience with DPDK, FPGA, or real-time systems. We’re looking for engineers who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website:We encourage you to apply 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. Plus, it shows you’re serious about joining our team!
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 real-time pricing models. Being able to discuss these topics confidently will show that you’re not just familiar with them, but that you can apply them practically.
✨Demonstrate Problem-Solving Skills
Prepare to tackle some technical problems during the interview. Think about how you would approach issues related to latency or system failures. Practising coding challenges or system design questions can help you articulate your thought process clearly and effectively.
✨Understand Market Dynamics
Familiarise yourself with market microstructure and execution strategies. Being able to discuss how your work impacts P&L and fill quality will demonstrate your understanding of the business side of engineering. This knowledge can set you apart from other candidates who may focus solely on technical skills.
✨Show Enthusiasm for Continuous Learning
This role is at the cutting edge of technology, so express your eagerness to learn and adapt. Talk about any recent projects or technologies you’ve explored, especially those related to machine learning or high-throughput systems. Showing that you’re proactive about your professional development can make a great impression.
