Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise trading systems using C# and Python for global markets.
- Company: Leading quantitative research and trading firm with a focus on innovation.
- Benefits: Industry-leading compensation, tools for learning, and long-term career growth.
- Why this job: Work at the cutting edge of finance and engineering, making a real impact.
- Qualifications: Strong software engineering skills in C# and/or Python; interest in quantitative finance.
- Other info: Collaborative environment with opportunities to work closely with quants.
The predicted salary is between 36000 - 60000 £ per year.
Join a leading quantitative research and trading firm using heavy compute and modern engineering to tackle some of the hardest problems in systematic finance. You’ll sit close to the money, turning cutting‑edge research into production systems that run at scale in global markets.
This is a hands‑on engineering role working side‑by‑side with quants. You’ll design, build and optimise trading, simulation and research systems in C# and Python, with huge emphasis on performance, reliability and clean architecture.
What you’ll do:
- Build and evolve trading systems that run 24/6 with real capital at stake.
- Develop modelling and simulation frameworks that quants use to test and refine strategies.
- Improve research tooling and workflows so ideas move smoothly from prototype to production.
- Push performance and scalability in core services, unlocking new research and trading capabilities.
- Take end‑to‑end ownership of projects, from design through to deployment and iteration.
What you bring:
- Strong software engineering fundamentals: algorithms, data structures, architecture.
- Commercial experience in C# and/or Python, ideally on complex, high‑performance systems.
- Interest in quantitative finance and how engineering accelerates research and trading.
- Comfort working closely with stakeholders, prioritising impact and communicating clearly.
Why you might care:
Work at the intersection of advanced research, serious engineering and real‑world markets. Industry‑leading compensation, deep technical culture, serious investment in tools, learning and long‑term career growth.
Quantitative Developer in Slough employer: Block MB
Contact Detail:
Block MB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your C# and Python projects. We want to see your coding chops in action, especially if you’ve built anything related to trading systems or quantitative finance.
✨Tip Number 3
Prepare for those technical interviews! Brush up on algorithms and data structures, and practice coding challenges. We recommend using platforms like LeetCode or HackerRank to get into the groove.
✨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 in Slough
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C# and Python in your application. We want to see how you've used these languages in real-world projects, especially if they relate to high-performance systems.
Connect the Dots: When writing your application, link your software engineering fundamentals to the role. Talk about algorithms, data structures, and architecture, and how they apply to quantitative finance. This helps us see your thought process!
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward. Avoid jargon unless it’s necessary, and make sure your passion for quantitative finance shines through without overwhelming us with technical details.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from interested candidates.
How to prepare for a job interview at Block MB
✨Know Your Tech Inside Out
Make sure you brush up on your C# and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in high-performance systems. They’ll want to see your understanding of algorithms and data structures, so be prepared to dive deep into technical discussions.
✨Show Your Passion for Quantitative Finance
Demonstrate your interest in quantitative finance during the interview. Share any relevant experiences or projects that highlight how engineering can enhance research and trading. This will show that you’re not just a coder but someone who understands the bigger picture and is excited about the industry.
✨Communicate Clearly with Stakeholders
Since the role involves working closely with quants and other stakeholders, practice articulating your thoughts clearly. Prepare examples of how you've successfully communicated complex ideas in the past. This will help them see that you can bridge the gap between engineering and finance effectively.
✨Prepare for Problem-Solving Questions
Expect to face some problem-solving scenarios during the interview. Brush up on your coding skills and be ready to tackle algorithmic challenges on the spot. Practising with platforms like LeetCode or HackerRank can help you get comfortable with this type of questioning.
