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- 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 exposure to quantitative finance and advanced technologies.
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) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 quantitative finance or trading systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding algorithms. Practice common coding challenges and be ready to discuss your thought process when solving problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Quantitative Developer (Global Hedge Fund)
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 relevant experience with data structures and algorithms. We want to see how your background aligns with our needs!
Showcase Your Projects: Include any projects that demonstrate your ability to work with large datasets or time-series data. If you've built trading systems or backtesting frameworks, let us know! This is your chance to shine and show us what you can do.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about quantitative finance and how your skills can contribute to our team. Be genuine and express your enthusiasm for the role – we love to see candidates who are excited about what they do!
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. Plus, it’s super easy!
How to prepare for a job interview at Venture Search
✨Know Your Code Inside Out
Make sure you’re comfortable with the programming languages mentioned in the job description, especially C#, Python, and C++. Brush up on your coding skills and be ready to discuss your past projects. You might even be asked to solve coding problems on the spot, so practice common algorithms and data structures.
✨Understand the Financial Landscape
Familiarise yourself with basic concepts in quantitative finance and systematic trading. Knowing how capital markets operate and understanding derivatives can give you an edge. Be prepared to discuss how your technical skills can apply to real-world trading scenarios.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to demonstrate your analytical thinking. You might face hypothetical scenarios or case studies related to trading systems. Think aloud as you work through these problems; interviewers appreciate seeing your thought process.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s trading strategies, technology stack, and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.