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- Tasks: Design and optimise trading systems using C# and Python in a fast-paced environment.
- 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 technology, making a real impact.
- Qualifications: Strong software engineering skills and experience in C# or Python.
- Other info: Collaborative culture with opportunities to work closely with quants.
The predicted salary is between 36000 - 60000 ÂŁ 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 will sit close to the money, turning cuttingâedge research into production systems that run at scale in global markets.
This is a handsâon engineering role working sideâbyâside with quants. You will design, build and optimise trading, simulation and research systems in C# and Python, with huge emphasis on performance, reliability and clean architecture.
What youâll 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 endâtoâend 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, highâperformance 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 realâworld markets. Industryâleading compensation, deep technical culture, serious investment in tools, learning and longâterm career growth.
Quantitative Developer in London employer: Block MB
Contact Detail:
Block MB Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Quantitative Developer in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We canât stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
â¨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects in C# and Python. We love seeing real examples of your work, and it gives you a chance to demonstrate your coding chops beyond just a CV.
â¨Tip Number 3
Prepare for those interviews! Brush up on algorithms and data structures, and be ready to discuss your past projects. We recommend practicing coding challenges to get into the right mindset.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, weâre always on the lookout for passionate candidates who are eager to dive into quantitative finance.
We think you need these skills to ace Quantitative Developer in London
Some tips for your application đŤĄ
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 scenarios, especially in high-performance systems.
Connect the Dots: When writing your application, link your software engineering fundamentals to the role. Talk about your understanding of algorithms and data structures, and how they apply to quantitative finance. We love seeing that connection!
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward. Avoid jargon unless itâs necessary, and make sure your passion for quantitative finance shines through without overwhelming us with technical details.
Apply Through Our Website: Donât forget to submit your application through our website! Itâs the best way for us to receive your details and ensures youâre considered for the role. We canât wait to see what you bring to the table!
How to prepare for a job interview at Block MB
â¨Know Your Tech Inside Out
Make sure you brush up on your C# and Python skills before the interview. Be ready to discuss your experience with complex systems and how you've tackled performance issues in the past. Theyâll want to see that you can not only code but also understand the underlying principles of software engineering.
â¨Show Your Quantitative Passion
Demonstrate your interest in quantitative finance during the interview. Prepare examples of how engineering can enhance research and trading. This could be through discussing past projects or even hypothetical scenarios where your skills could make a difference.
â¨Communicate Clearly
Since you'll be working closely with quants and other stakeholders, practice articulating your thoughts clearly. Use simple language to explain complex concepts, and be prepared to answer questions about your decision-making process and how you prioritise tasks.
â¨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on algorithms and data structures, and be ready to solve problems on the spot. Practising coding challenges can help you think on your feet and showcase your problem-solving skills effectively.
