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For Companies At a Glance
- Tasks: Design and develop high-performance trading systems that power innovative financial strategies.
- Company: Join a top-tier hedge fund known for cutting-edge technology and market-leading performance.
- Benefits: Exceptional salary, performance bonuses, and a culture of intellectual curiosity.
- Other info: Thriving environment with opportunities for growth and excellence in engineering.
- Why this job: Make a direct impact on trading performance while collaborating with brilliant minds.
- Qualifications: Strong academic background in quantitative disciplines and experience in high-performance systems.
The predicted salary is between 80000 - 150000 £ per year.
We are partnering with a top-tier, globally recognised hedge fund to identify exceptional Software Engineers to join their systematic trading and quantitative research platforms. This firm is renowned for its cutting-edge technology, scientific approach to markets, and a track record of sustained, market-leading performance. Our client is seeking intellectually elite individuals with strong foundations in quantitative disciplines and a passion for solving complex, high-impact problems at scale.
The Opportunity
You will work at the intersection of advanced engineering and quantitative finance, building highly performant, scalable systems that directly power trading strategies and research workflows. This is a front-office role with immediate impact on PnL, collaborating closely with world-class quants, researchers, and technologists.
Key Responsibilities
- Design and develop low-latency, high-throughput trading systems and research infrastructure
- Work closely with quantitative researchers to translate models into production-grade systems
- Optimise performance across distributed systems handling large-scale financial data
- Contribute to architectural decisions in a fast-moving, intellectually rigorous environment
- Continuously improve code quality, testing, and deployment pipelines
Candidate Profile
We are specifically targeting individuals with:
- Outstanding academic credentials (e.g. Computer Science, Mathematics, Physics, Engineering) from leading global universities
- A strong quantitative background with deep problem-solving ability
- Proven experience in high-performance systems (C++, Python or similar)
- A track record of excellence, whether in industry, academia, or competitive environments
- Strong understanding of algorithms, data structures, and system design
Desirable Experience
- Exposure to systematic trading, quantitative finance, or data-intensive environments
- Experience with distributed systems, concurrency, and low-latency optimisation
- Familiarity with Linux-based systems and modern DevOps practices
Why This Role?
- Work alongside some of the brightest minds in quantitative finance and technology
- Direct impact on trading performance and firm profitability
- Exceptional compensation structure, including significant performance-related bonuses
- A culture that prizes intellectual curiosity, autonomy, and engineering excellence
This is a rare opportunity to join an elite environment where technical ability and intellectual rigor are paramount. We are looking for candidates who thrive in challenging settings and want to operate at the very top end of the industry. If this aligns with your background, we would welcome a confidential discussion.
Software Engineer (Junior, Mid & Senior) – Systematic Trading/Elite Hedge Fund) - £80-150k plus bonus employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Junior, Mid & Senior) – Systematic Trading/Elite Hedge Fund) - £80-150k plus bonus
✨Tip Number 1
Network like a pro! Reach out to current employees at the hedge fund or similar firms on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and algorithms. We recommend practicing on platforms like LeetCode or HackerRank to get comfortable with problem-solving under pressure.
✨Tip Number 3
Showcase your passion for quantitative finance! During interviews, share any personal projects or research that highlight your skills in building systems or solving complex problems. It’s all about demonstrating your enthusiasm!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for top talent to join our community of exceptional engineers.
We think you need these skills to ace Software Engineer (Junior, Mid & Senior) – Systematic Trading/Elite Hedge Fund) - £80-150k plus bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your academic credentials and any relevant projects or roles that showcase your quantitative background and problem-solving abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about systematic trading and how your skills can contribute to our cutting-edge technology. Be specific about your experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your experience with high-performance systems, especially if you’ve worked with C++ or Python. Include any projects that demonstrate your ability to design and develop scalable systems, as this is crucial for the role.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to see your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like C++ and Python. Brush up on your knowledge of algorithms, data structures, and system design, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems, especially in high-performance systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your quantitative background.
✨Understand the Business Impact
Since this role has a direct impact on PnL, be ready to explain how your engineering decisions can affect trading strategies. Familiarise yourself with systematic trading concepts and think about how technology drives performance in finance.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the firm’s culture and projects. Inquire about their approach to optimising performance or how they integrate engineering with quantitative research. This demonstrates your enthusiasm and critical thinking.