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- Tasks: Design and develop high-performance software for quantitative research and trading.
- Company: Join a leading global quantitative trading firm in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make an impact in the fast-paced world of quantitative trading.
- Qualifications: Strong programming skills in Python, C++, or C# required.
- Other info: Collaborative culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Venture Search has partnered with a leading global quantitative trading firm, that is seeking a Quantitative Developer to join its London office. The successful candidate will work closely with quantitative researchers and traders to build, enhance, and support the software platforms that power systematic trading and research. This role combines strong software engineering with quantitative problem-solving in a fast-paced, collaborative environment.
Responsibilities
- Design, develop, and maintain high-performance software used in quantitative research and trading
- Collaborate with quantitative researchers to productionise models and research tools
- Build and maintain data pipelines for large-scale market and reference data
- Develop backtesting, simulation, and analytics frameworks
- Contribute to trading, execution, and risk management systems
- Optimise system performance, reliability, and scalability
- Support live trading systems and participate in debugging and issue resolution
- Follow best practices in software development, testing, and documentation
Required Qualifications
- Strong programming skills in Python, C++, or C#
- Solid foundations in computer science, including data structures and algorithms
- Experience working with large datasets and time-series data
- Familiarity with Linux/Unix environments and version control tools (e.g., Git)
- Strong analytical thinking and problem-solving skills
- Ability to work effectively with researchers and traders in a collaborative setting
Preferred Qualifications
- Experience in quantitative trading, market making, or financial technology
- Understanding of financial markets, derivatives, or market microstructure
- Experience with low-latency or performance-critical systems
- Knowledge of databases (SQL/NoSQL) and distributed systems
- Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
Quantitative Developer (Global Quant Trading Firm) in Slough employer: Venture Search
Contact Detail:
Venture Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer (Global Quant Trading Firm) in Slough
✨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 trading or software development. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and problem-solving techniques. Practice common algorithms and data structures, and don’t forget to review quantitative concepts relevant to trading.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by hiring managers who are looking for talent like yours.
We think you need these skills to ace Quantitative Developer (Global Quant Trading Firm) in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your programming skills in Python, C++, or C#, and any experience with large datasets. We want to see how your background aligns with the responsibilities listed in the job description.
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your software engineering and quantitative problem-solving skills. 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 excited about this role and how you can contribute to our team. Be sure to mention your familiarity with financial markets and any collaborative experiences you've had with researchers or traders.
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 Tech Stack
Make sure you’re well-versed in Python, C++, or C#. Brush up on your knowledge of data structures and algorithms, as these are crucial for the role. Be ready to discuss how you've used these skills in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some quantitative problems during the interview. Think through your approach to solving complex issues, especially those related to large datasets and time-series data. Practising with real-world scenarios can help you articulate your thought process.
✨Understand the Trading Environment
Familiarise yourself with financial markets, derivatives, and market microstructure. Being able to discuss these topics will show that you’re not just a coder but also understand the context in which your software will be used.
✨Collaborate and Communicate
Since this role involves working closely with researchers and traders, practice articulating your ideas clearly. Prepare examples of how you’ve successfully collaborated in the past, and be ready to demonstrate your ability to work in a team-oriented environment.
