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For Companies At a Glance
- Tasks: Develop high-performance code and collaborate with elite researchers on impactful projects.
- Company: Top-tier quantitative investment fund known for technical excellence and low-ego culture.
- Benefits: Highly competitive salary, significant bonuses, and exposure to world-class infrastructure.
- Why this job: Join a leading fund and work on complex problems that directly influence trading performance.
- Qualifications: Strong programming skills in Python/C++, and a degree in Computer Science or STEM.
- Other info: Dynamic environment with opportunities for personal and professional growth.
We are partnering with one of London’s most selective and highest-performing quantitative investment funds to appoint a Quant Developer to their core systematic trading group. This is a confidential mandate for a team renowned for world-class engineering standards, scientific rigour, and a culture built around high impact and low ego. The successful candidate will work at the intersection of quantitative research, data engineering, and high-performance software development — with code that moves rapidly from prototype to production and directly influences trading performance.
The Role
- Collaborate closely with quant researchers to productionise models and design scalable research/tooling infrastructure
- Develop high-performance, robust code across Python and C++
- Build and maintain data pipelines, research platforms, and components of the live trading stack
- Optimise system performance, reliability, and throughput across large-scale datasets
- Contribute to architectural decisions across the full research-to-execution workflow
What We’re Looking For
- Exceptional programming skills in Python and/or C++, with a focus on writing clean, performant production code
- Strong understanding of core CS fundamentals (algorithms, distributed systems, profiling, testing)
- Experience in a systematic trading environment or quantitative data domain is highly advantageous, though not essential
- A problem-solver with the ability to work collaboratively in a highly technical, research-driven environment
- Humility, curiosity, and a desire to build systems that have real, measurable impact
- Computer Science or STEM degree from a good university
Why This Role Stands Out
- Opportunity to join a top-performing fund with a deeply technical culture
- Work directly with elite researchers and developers on complex, meaningful problems
- Highly competitive compensation with significant performance-based upside
- Exposure to world-class infrastructure, datasets, and compute environments
- A role where strong engineering truly drives investment performance
Quant Developer : Elite Quant Fund : Python/C++ : £150-200k base plus huge bonus in Slough employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer : Elite Quant Fund : Python/C++ : £150-200k base plus huge bonus in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at quant funds. Use platforms like LinkedIn to connect and engage with them. A personal introduction can make all the difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and C++ projects. Whether it's a GitHub repo or a personal website, having tangible evidence of your coding prowess can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system design. Practice coding challenges on platforms like LeetCode or HackerRank. The more comfortable you are with these concepts, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, it shows you're genuinely interested in joining our team. Let’s get you started on this exciting journey!
We think you need these skills to ace Quant Developer : Elite Quant Fund : Python/C++ : £150-200k base plus huge bonus in Slough
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your exceptional programming skills in Python and C++. We want to see how you write clean, performant production code, so don’t hold back on showcasing your best work!
Tailor Your Application: Take a moment to tailor your application to the role. Mention any experience you have in systematic trading or quantitative data domains, even if it’s not extensive. It shows us you’re genuinely interested in the position!
Be a Problem Solver: We love problem solvers! In your application, share examples of how you've tackled complex challenges in a collaborative environment. This will help us see your potential fit within our highly technical team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at one of London’s top quant funds.
How to prepare for a job interview at Hunter Bond
✨Master the Tech Stack
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss your experience with writing clean, performant code and be prepared to solve coding challenges on the spot. Practising algorithms and data structures will also give you a solid edge.
✨Know Your Quant Fundamentals
Familiarise yourself with core computer science concepts like distributed systems and profiling. Understanding these fundamentals will not only help you answer technical questions but also demonstrate your ability to think critically about system performance and reliability.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in a collaborative environment. Highlight your thought process and how you approached the challenge, as this will show your potential to contribute effectively to their research-driven culture.
✨Emphasise Humility and Curiosity
This fund values low ego and high impact, so be sure to convey your willingness to learn and grow. Share instances where you've sought feedback or adapted your approach based on new information, as this aligns perfectly with their team culture.
