At a Glance
- Tasks: Build and optimise high-performance trading systems in a fast-paced start-up environment.
- Company: Join an ambitious quantitative investment firm with a world-class engineering team.
- Benefits: Excellent salary, bonuses, equity options, and a vibrant start-up culture.
- Other info: Dynamic role with opportunities for growth and exposure to multiple asset classes.
- Why this job: Make a real impact on trading infrastructure and influence cutting-edge machine learning models.
- 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 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. 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. Experience a unique opportunity to influence model design and data architecture while working alongside top-tier professionals in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer: AI & Finance
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading systems or machine learning. This gives you a chance to demonstrate your hands-on experience and problem-solving mindset.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and algorithms. Practice common questions and scenarios that are relevant to quant development. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨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, it shows you’re genuinely interested in joining our ambitious team.
We think you need these skills to ace Software Engineer: AI & Finance
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, especially those involving Python and machine learning.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Explain why you're excited about working at an early-stage quantitative investment firm and how your background makes you a perfect fit for the team.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in previous roles. We want to see your pragmatic mindset and how you approach challenges, especially in fast-paced environments like trading.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and shows us you're serious about joining our ambitious 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 basics of quantitative finance and how trading systems operate. Being able to discuss how your technical skills can directly impact P&L will show that you understand the role's significance within the firm.
✨Showcase Problem-Solving Skills
Prepare to discuss past projects where you’ve tackled complex problems, particularly in high-performance environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your pragmatic approach to problem-solving.
✨Ask Insightful Questions
Prepare thoughtful questions about the firm's strategies, culture, and future plans. This not only shows your interest but also helps you gauge if the company aligns with your career goals. Think about asking how they measure success in their trading systems or what challenges they currently face.
