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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.
Are you an organized and skilled Quant Developer looking to make an impact in a dynamic and collaborative environment? Join one of the world’s most prestigious hedge funds, renowned for its cutting-edge technology, innovative strategies, and exceptional talent. This is your chance to be part of a team that consistently pushes the boundaries of what’s possible in finance.
About the Role:
They are seeking a talented individual to join their Model Implementation team, working alongside top-tier Quantitative Researchers, Engineers, and Portfolio Managers. The team is made up of technical, hands-on professionals who tackle complex challenges, each wearing multiple hats and you will too.
Key Responsibilities:
- Managing distributed real-time trading systems for computing signals and target positions across various strategies.
- Collaborating closely with Researchers and Portfolio Managers to enhance and expand strategy capabilities.
- Designing and implementing new trading strategies from inception to production.
- Identifying platform bottlenecks and driving actionable solutions to address them.
- Adding functionality to support new asset classes and improve platform scalability.
Requirements:
- BS/MS/PhD in Computer Science or a related field.
- 3+ years of experience as a Quant Developer or in a similar role.
- Strong programming skills in Python and C++.
- Experience with Python data science tools (Pandas, Numpy, Scikit-learn).
- Exceptional coding, debugging, and analytical abilities.
- Strong problem-solving and communication skills.
- Ownership mentality with the ability to multitask effectively.
- Commitment to writing clean, well-tested, and automated code.
Why Join?
This is more than just a job – it\’s an opportunity to work with a globally recognized hedge fund that is at the forefront of quantitative finance. You’ll collaborate with some of the brightest minds in the industry, tackle exciting technical challenges, and have a direct impact on trading systems that shape the financial markets.
If you are passionate about pushing the boundaries of quantitative development and thrive in a collaborative, high-performance environment, we’d love to hear from you.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Finance and Information Technology
Industries
Financial Services and Software Development
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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.
