At a Glance
- Tasks: Design and optimise high-performance trading systems using C++ or Rust.
- Company: Join a cutting-edge crypto-native trading firm in London.
- Benefits: Earn up to £180,000 plus equity, unlimited holiday, and wellness perks.
- Other info: Enjoy a hybrid work setup and dedicated budget for professional development.
- Why this job: Take ownership of critical trading systems and make a real impact.
- Qualifications: Expertise in C++ or Rust with a focus on performance optimisation.
The predicted salary is between 180000 - 180000 € per year.
Albert Bow is partnered with a crypto-native trading firm building low-latency infrastructure for OTC and systematic execution. They’re looking for a Quantitative Engineer to join the London team and take ownership of key trading systems, from pricing libraries and risk engines to connectivity and execution logic.
You’ll work side-by-side with traders and quant researchers to identify latency bottlenecks, deploy optimised code, and maintain production-ready infra across live strategies.
Responsibilities- Design and maintain a high-performance pricing and risk library used in OTC trading
- Build and optimise C++/Rust components for real-time quoting and execution
- Work closely with trading to define requirements and rapidly deliver infrastructure
- Own critical parts of the stack: order logic, pricing, position/risk tracking, data handling
- Continuously profile, benchmark, and tune systems for performance and scale
- Drive projects from idea through to production with full ownership
- Expert-level programming in C++ or Rust, with focus on performance
- Strong grasp of low-level optimisation and systems-level debugging
- Experience in derivatives pricing, risk systems, or trading infra preferred
- Comfort working in latency-sensitive, production-critical environments
- Degree in Computer Science, Math, Engineering, or related field
- Excellent quantitative and analytical skills
- Familiarity with fast market connectivity, quoting systems, or HFT-style architecture
- Python for data handling, scripting, or prototyping
- Experience supporting trading systems in production
- Core engineering role in a fast-growing systematic and OTC crypto trading team
- Hybrid setup with 4 days a week in-office
- Up to £180,000 base + meaningful equity
- Unlimited holiday and 20-day remote work policy
- Dedicated budget for learning & professional development
- Apple hardware, ClassPass, and wellness perks included
If you're interested, please apply with an up-to-date CV or reach out directly – chrisgorry@albertbow.com. Interviews are progressing now.
Quantitative Engineer employer: Albert Bow
Join a dynamic and innovative crypto-native trading firm in London, where as a Quantitative Engineer, you'll have the opportunity to take ownership of critical trading systems while collaborating closely with traders and quant researchers. Enjoy a hybrid work environment, competitive salary up to £180,000 plus equity, unlimited holiday, and a dedicated budget for professional development, all within a culture that values performance, growth, and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto trading space, especially those who work at firms you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. Demonstrating your C++ or Rust prowess can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your optimisation techniques and systems-level debugging. Practice coding challenges that focus on low-latency environments to get in the zone.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Engineer role. Highlight your C++ or Rust experience and any relevant projects that showcase your skills in low-latency systems and trading infrastructure.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you optimised code or improved system performance. This will help us see how you can contribute to our team.
Keep It Concise:While we love detail, keep your application concise and to the point. Focus on the most relevant experiences and achievements that align with the job description. We want to see your best work without wading through fluff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to track your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Albert Bow
✨Know Your Tech Inside Out
Make sure you brush up on your C++ and Rust skills before the interview. Be ready to discuss specific projects where you've optimised code or tackled performance issues. They’ll want to see your technical prowess, so be prepared to dive deep into your programming experience.
✨Understand the Trading Landscape
Familiarise yourself with OTC trading and systematic execution. Knowing how pricing libraries and risk engines work will give you an edge. You might even want to read up on recent trends in crypto trading to show that you're genuinely interested in the field.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice coding problems that focus on low-level optimisation and systems-level debugging. Being able to think on your feet and demonstrate your problem-solving skills will impress the interviewers.
✨Show Your Collaborative Spirit
Since you'll be working closely with traders and quant researchers, highlight any past experiences where teamwork was key to your success. Discuss how you’ve communicated technical concepts to non-technical team members, as this will showcase your ability to bridge the gap between tech and trading.
