Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop high-performance trading systems with cutting-edge technology.
- Company: Join a top-tier systematic hedge fund with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact in finance by building robust tools for systematic investment strategies.
- Qualifications: Strong programming skills in C#, Python, or C++ and a passion for problem-solving.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 60000 - 80000 £ per year.
Venture Search have partnered with a top-tier systematic hedge fund, that are looking for a Quantitative Developer to work closely with quantitative researchers and portfolio managers to design, implement, and maintain scalable, high-performance trading and research systems. The role sits at the intersection of quantitative research, software engineering, and trading, with a focus on building robust tools and infrastructure that support systematic investment strategies.
Responsibilities
- Design, develop, and maintain production-quality software for quantitative trading strategies
- Partner with quantitative researchers to translate models and research prototypes into efficient, scalable code
- Build and optimize data pipelines for market, reference, and alternative data
- Implement backtesting frameworks, simulation tools, and research platforms
- Enhance trading infrastructure, including execution, risk, and monitoring systems
- Optimize performance, reliability, and scalability of existing systems
- Collaborate with technology, risk, and operations teams to support live trading environments
- Ensure best practices in software development, testing, and documentation
Required Qualifications
- Strong programming skills in C#, Python and/or C++ (Java or other languages a plus)
- Solid understanding of data structures, algorithms, and software engineering principles
- Experience working with large datasets and time-series data
- Familiarity with Linux/Unix environments and version control systems (e.g., Git)
- Ability to work closely with quantitative researchers and traders in a fast-paced environment
- Strong problem-solving skills and attention to detail
Preferred Qualifications
- Experience in quantitative finance, systematic trading, or financial technology
- Knowledge of capital markets, derivatives, or market microstructure
- Experience with databases (SQL, NoSQL), distributed systems, or cloud platforms
- Exposure to backtesting frameworks, execution systems, or real-time trading platforms
- Advanced degree in Computer Science, Engineering, Mathematics, Physics, or a related field
Quantitative Developer (Global Hedge Fund) in City of London employer: Venture Search
Contact Detail:
Venture Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer (Global Hedge Fund) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to quantitative finance or trading systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and algorithms. Practice common problems and be ready to discuss your thought process. We believe that confidence in your abilities can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Developer (Global Hedge Fund) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your programming skills in C#, Python, or C++, and any experience with large datasets or time-series data. We want to see how your background aligns with our needs!
Showcase Relevant Projects: Include any relevant projects or experiences that demonstrate your ability to design and implement scalable trading systems. If you've worked on backtesting frameworks or data pipelines, let us know! This is your chance to shine.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about quantitative finance and how you can contribute to our team. Be specific about your experiences and how they relate to the responsibilities outlined in the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Venture Search
✨Know Your Code Inside Out
Make sure you’re comfortable discussing your programming skills in C#, Python, and C++. Be ready to explain your thought process behind coding decisions and how you've optimised performance in past projects. Brush up on data structures and algorithms, as these are likely to come up during technical discussions.
✨Understand the Financial Landscape
Familiarise yourself with key concepts in quantitative finance and systematic trading. Knowing about capital markets, derivatives, and market microstructure will help you connect better with the team. It shows that you’re not just a coder but also understand the financial implications of your work.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-time problem-solving scenarios during the interview. Practice coding challenges and algorithm questions that require you to think on your feet. This will demonstrate your analytical skills and ability to work under pressure, which is crucial in a fast-paced environment.
✨Showcase Your Collaboration Skills
Since the role involves working closely with quantitative researchers and traders, be prepared to discuss your experience in collaborative projects. Highlight instances where you’ve successfully partnered with others to translate complex models into scalable code. This will show that you can communicate effectively and work well in a team.