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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: Collaborate with industry leaders and tackle exciting technical challenges in a high-performance environment.
- Why this job: Make a direct impact on financial markets while pushing the boundaries of quantitative development.
- Qualifications: BS/MS/PhD in Computer Science; 3+ years as a Quant Developer; strong Python and C++ skills.
- Other info: Ideal for those who thrive in collaborative settings and have a passion for finance.
The predicted salary is between 43200 - 72000 £ 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.
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 quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with Quant Developers and researchers. Building relationships can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source initiatives. Highlighting your experience with Python and C++ in real-world applications can set you apart from other candidates.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures. Familiarise yourself with common quantitative problems and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Stay updated on the latest trends in quantitative finance and technology. Reading relevant research papers, blogs, or following industry leaders on social media can help you engage in informed discussions during interviews.
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 Compelling 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 managing trading systems, implementing strategies, and any contributions you've made to enhance platform capabilities.
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 demonstrate your programming skills in Python and C++. You might be asked to solve coding problems or discuss your previous projects, so brush up on your technical knowledge and be ready to explain your thought process.
✨Understand the Role and Responsibilities
Familiarise yourself with the key responsibilities of a Quant Developer. Be ready to discuss how your experience aligns with managing trading systems, collaborating with researchers, and implementing new strategies. This shows that you are genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving abilities. Think of examples from your past work where you identified bottlenecks or implemented solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Your Collaborative Spirit
Since the role involves working closely with various teams, highlight your teamwork experiences. Share examples of how you've successfully collaborated with others, especially in high-pressure situations, to show that you can thrive in a dynamic environment.
