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 up to £500k, dynamic work environment, and rapid career growth.
- Other info: Work with top-tier engineers and own critical systems from day one.
- Why this job: Join a unique tech environment and make a real impact on live trading systems.
- Qualifications: Strong background in systems engineering, mathematics, or physics.
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 - Up to £500k TC employer: Mondrian Alpha
As a leading global electronic trading firm based in London, we pride ourselves on fostering a dynamic work culture that thrives on innovation and technical excellence. Our employees benefit from unparalleled opportunities for growth, working alongside some of the brightest minds in systems engineering and quantitative analysis, while directly impacting live markets from day one. With a focus on cutting-edge technology and real-time problem-solving, we offer a unique environment where engineers can take ownership of critical systems and push the boundaries of what's possible in electronic trading.
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 - Up to £500k TC
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, or even online webinars. Connect with professionals in the electronic trading space and don’t be shy to ask for insights or advice. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to low-latency systems or machine learning. This is your chance to demonstrate your expertise and passion for quantitative engineering, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of market microstructure. Practice solving problems under time constraints, as this reflects the real-world challenges you’ll face in the role. We believe in being ready to impress!
✨Tip Number 4
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. Let’s get you on board at the frontier of electronic markets!
We think you need these skills to ace Quantitative Developer | Global Electronic Trading Firm | London Engineering at the Frontier of Electronic Markets - Up to £500k TC
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 forget to showcase your technical skills in your application. Mention any programming languages, frameworks, or tools you’re proficient in that are relevant to the role. We love seeing candidates who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. 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 in a practical setting.
✨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, which is crucial for this role.
✨Showcase Your Experience with Real-Time Systems
Be ready to discuss any previous experience you have with real-time systems or high-frequency trading environments. Share specific examples of how you’ve optimised performance or handled latency issues. This will highlight your ability to work under pressure and your understanding of the stakes involved.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s engineering challenges and their approach to market microstructure. This not only shows your genuine interest in the role but also gives you a chance to demonstrate your knowledge and curiosity about the field. It’s a great way to engage with your interviewers and leave a lasting impression.
