At a Glance
- Tasks: Build and optimise high-performance trading systems in a fast-paced start-up environment.
- Company: Join an ambitious, early-stage quantitative investment firm with a world-class team.
- Benefits: Excellent salary, bonuses, equity, and a genuine roadmap to $1 billion AUM.
- Other info: Dynamic start-up culture with opportunities for growth and innovation.
- Why this job: Make a real impact on trading infrastructure and influence model design from day one.
- Qualifications: Strong coding skills in Python and a background in Machine Learning or Computer Science.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with an ambitious, early‑stage quantitative investment firm that’s quietly assembling a world‑class engineering and research team. Backed by experienced founders and operating at the intersection of markets, data, and machine intelligence, this fund is building high‑performance trading systems across equities, crypto, and futures. They’re now looking to add a Quant Developer who thrives in a fast‑moving start‑up environment and wants real ownership over mission‑critical trading infrastructure.
The Role
This is not a siloed role. You’ll sit close to the research, trading, and execution stack, helping to design, build, and scale systems that directly impact P&L from day one. You will contribute broadly as a hands‑on engineer—stepping in across software and quant‑development workloads as needed in a demanding startup setting.
Key responsibilities
- Build, maintain, and evolve production‑grade trading systems that manage and execute orders across multiple MFT strategies and exchanges in equities, crypto, and futures.
- Optimize performance, reliability, and latency across the execution stack, with a strong focus on robustness in live trading environments.
- Partner closely with quant and machine learning researchers to continuously refine data pipelines, signals, and execution logic.
- Contribute broadly as a hands‑on engineer—stepping in across software and quant‑development workloads as needed in a demanding startup setting.
Requirements
- Strong experience building high‑performance, production‑quality code in a trading or similarly latency‑sensitive environment.
- Strong BSc, MSc or PhD academic background in Machine Learning, Computer Science or Engineering.
- Advanced Python skills; experience with PyTorch, TensorFlow, NumPy, pandas, scikit‑learn.
- A pragmatic, problem‑solving mindset—someone who enjoys shipping, iterating, and improving real systems.
- The flexibility and ownership mentality required to succeed at an early‑stage fund.
Nice to Have
- C++ or other low‑level language experience.
- Distributed computing/large‑scale data pipelines.
- Prior systematic/prop trading or quant fund experience.
- Equities mid‑frequency.
What’s on Offer
- Start‑up culture with genuine roadmap to $1 billion AUM.
- Equity on offer alongside excellent base plus bonus.
- Machine learning is core to the investment process, not an overlay.
- Exposure to multiple asset classes within a unified research framework.
- Opportunity to influence model design, data architecture and research standards.
Software Engineer: AI & Finance in London employer: Hunter Bond
Join an ambitious, early-stage quantitative investment firm in London that offers a dynamic start-up culture and the chance to work on high-performance trading systems across various asset classes. With excellent compensation packages including equity, this company prioritises employee growth and collaboration, allowing you to have a direct impact on mission-critical infrastructure from day one. Embrace the opportunity to innovate alongside a world-class team at the forefront of machine intelligence and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer: AI & Finance in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the finance and tech sectors. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading systems or machine learning. This is your chance to demonstrate your hands-on experience and problem-solving mindset, which are crucial for a role like Quant Developer.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and algorithms. Practice common questions related to Python, data structures, and trading systems. We recommend using platforms that simulate real interview scenarios to get you 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 by the right people. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Software Engineer: AI & Finance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of a Quant Developer. Highlight your experience in building high-performance trading systems and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and finance. Share specific examples of how you've tackled challenges in fast-paced environments, and don’t forget to mention your problem-solving mindset!
Showcase Your Technical Skills:Be sure to list your advanced Python skills and any experience with machine learning frameworks like PyTorch or TensorFlow. We want to see how you can contribute to our mission from day one!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and any relevant libraries like PyTorch or TensorFlow. Brush up on your coding skills and be ready to demonstrate your knowledge through practical examples or coding challenges.
✨Understand the Business
Familiarise yourself with the quantitative investment landscape and how trading systems operate. Research the firm’s approach to markets, data, and machine intelligence. This will help you articulate how your skills can directly impact their P&L and show that you’re genuinely interested in their mission.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, particularly in high-performance environments. Think of scenarios where you’ve optimised code or improved system performance, and be ready to discuss your thought process and the outcomes.
✨Show Your Team Spirit
Since this role involves close collaboration with quant researchers and other engineers, highlight your teamwork experiences. Share examples of how you’ve successfully worked in cross-functional teams and contributed to shared goals, especially in fast-paced settings.
