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- Tasks: Join our Risk Management team as a Junior Quant Developer, building risk tools and improving quantitative models.
- Company: Be part of a leading Investment Management firm focused on innovative risk analysis solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Contribute to impactful projects in finance while working with cutting-edge technology and a talented team.
- Qualifications: 1-2 years in quantitative or software development, proficient in C++ and Python, with financial market knowledge.
- Other info: Legal right to work in the UK is required.
The predicted salary is between 28800 - 48000 £ per year.
New role here from one of my Investment Management clients looking for a talented Junior Quant Developer to join its Risk Management team. You will be part of a high-performance, collaborative environment, helping to build and maintain mission-critical infrastructure for risk analysis and investment decision-making.
Responsibilities:
- Contribute to the ongoing development and support of the proprietary Risk Management platform and quantitative library.
- Build Python-based and Excel-based risk tools and integrations used by traders, analysts, and risk managers.
- Develop, test and support C++ quant code on proprietary Risk Management system.
- Improve accuracy of quantitative models for trading.
- Maintain a constant smooth day-to-day process with fast bug-fixing.
- Document quantitative models and system components effectively.
Skills:
- 1–2 years of experience in a quantitative or software development role, preferably in financial markets.
- Proficiency in C++ and Python, with a focus on production-level code.
- Understanding of data structures, numerical methods, and statistics.
- Familiarity with Linux, Git, and scripting (Bash or similar).
- Experience and knowledge of the fixed income or credit financial instruments at a bank or alternative asset manager is a plus.
- Legal right to work in the United Kingdom.
Quantitative Analyst/Developer (Python & C++) employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst/Developer (Python & C++)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, C++, and Git. Having hands-on experience or personal projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the investment management and quantitative analysis fields. Attend relevant meetups, webinars, or conferences to connect with industry insiders who might provide insights or even referrals for the role.
✨Tip Number 3
Brush up on your understanding of risk management concepts and quantitative models. Being able to discuss these topics confidently during an interview will demonstrate your genuine interest and knowledge in the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges in Python and C++. Websites like LeetCode or HackerRank can help you sharpen your problem-solving skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Quantitative Analyst/Developer (Python & C++)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis and software development. Emphasise your proficiency in Python and C++, as well as any experience with financial markets.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative development and your understanding of risk management. Mention specific projects or experiences that demonstrate your skills in building risk tools and working with quantitative models.
Highlight Technical Skills: In your application, clearly list your technical skills, including your familiarity with Linux, Git, and any scripting languages. Provide examples of how you've used these skills in previous roles or projects.
Showcase Problem-Solving Abilities: Include examples in your application that demonstrate your problem-solving skills, particularly in relation to bug-fixing and improving quantitative models. This will show your potential employer that you can maintain a smooth day-to-day process.
How to prepare for a job interview at Radley James
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and C++. Bring examples of projects you've worked on, especially those that demonstrate your ability to write production-level code. If possible, share any quantitative models or tools you've developed.
✨Understand the Financial Context
Familiarise yourself with fixed income and credit financial instruments. Being able to discuss how your technical skills apply to risk management in investment contexts will show your potential employer that you understand the industry.
✨Demonstrate Problem-Solving Abilities
Expect to face technical questions or coding challenges during the interview. Practice solving problems related to data structures and numerical methods, as these are crucial for the role. Think aloud while solving problems to showcase your thought process.
✨Prepare Questions About the Team and Culture
Research the company’s Risk Management team and its collaborative environment. Prepare insightful questions about their current projects and how they approach problem-solving. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
