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- Tasks: Join a dynamic team to manage real-time trading systems and design innovative strategies.
- Company: Work with a prestigious hedge fund known for cutting-edge technology and exceptional talent.
- Benefits: Enjoy a collaborative environment, tackle exciting challenges, and make a direct impact on finance.
- Why this job: Be part of a team that pushes boundaries in quantitative finance and collaborates with industry leaders.
- Qualifications: BS/MS/PhD in Computer Science; 3+ years as a Quant Developer; strong Python and C++ skills required.
- Other info: This is a full-time role in the financial services and software development industries.
The predicted salary is between 48000 - 84000 £ per year.
This role sits within a global, technology-driven investment firm running systematic and quantitative strategies across financial markets. The firm builds its own trading, research, and data platforms in-house. As a Quant Developer, the role bridges quantitative research and engineering. You’ll work closely with researchers to turn ideas and models into robust, scalable software used in research and live trading. This includes building tools and workflows for data analysis, backtesting, and production trading systems, as well as owning and supporting critical components throughout their lifecycle. What they’re looking for • Degree in computer science, engineering, mathematics, physics, or similar • 2+ years’ experience with Python, C++, or kdb+/q • Understanding of financial data, storage, and analysis • Experience with modern software development practices • Strong technical communication skills Nice to have • Strong quantitative skills • Experience designing software solutions and workflows • Exposure to CI, monitoring, and databases
Quantitative Developer employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network with professionals in the finance and tech industries. Attend meetups, webinars, or conferences related to quantitative finance and development. Engaging with others in the field can lead to valuable connections and insights about the role.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in quantitative finance. Stay updated on advancements in trading systems and data science tools like Pandas and Scikit-learn. This knowledge will help you demonstrate your passion and expertise during interviews.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and algorithm problems, especially in Python and C++. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with problem-solving under pressure.
✨Tip Number 4
Showcase your projects and contributions on platforms like GitHub. Having a portfolio of your work can set you apart from other candidates. Highlight any relevant experience with real-time trading systems or collaborative projects that demonstrate your ability to work in a team.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Quant Developer. Emphasise your programming skills in Python and C++, along with any experience you have with data science tools like Pandas and Numpy.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative finance and your desire to work in a collaborative environment. Mention specific projects or experiences that demonstrate your problem-solving skills and ownership mentality.
Showcase Technical Skills: Include a section in your application that showcases your technical skills. Detail your experience with coding, debugging, and implementing trading strategies, as well as any contributions you've made to enhance platform scalability.
Highlight Collaboration Experience: Since the role involves working closely with Researchers and Portfolio Managers, be sure to highlight any past experiences where you collaborated with cross-functional teams. This will show your ability to communicate effectively and work in a team-oriented environment.
How to prepare for a job interview at Radley James
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python and C++. Highlight specific projects where you've used data science tools like Pandas and Numpy. Demonstrating your coding abilities through practical examples will impress the interviewers.
✨Understand the Role and Responsibilities
Familiarise yourself with the key responsibilities of a Quant Developer, especially around managing trading systems and collaborating with researchers. Showing that you understand the nuances of the role will indicate your genuine interest and readiness to contribute.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your analytical and debugging skills, and be ready to walk through your thought process when solving complex problems. This will demonstrate your ownership mentality and problem-solving capabilities.
✨Emphasise Collaboration and Communication
Since the role involves working closely with various teams, highlight your experience in collaborative environments. Share examples of how you've effectively communicated technical concepts to non-technical stakeholders, showcasing your ability to work well in a team.
