Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to implement trading strategies and develop innovative financial tools.
- Company: A top hedge fund in London, known for its cutting-edge technology and market impact.
- Benefits: Gain hands-on experience in finance with potential for growth and collaboration.
- Why this job: Work at the intersection of finance and tech, making a real impact in the industry.
- Qualifications: Bachelor's in computer science or related field; strong Python skills and financial market knowledge required.
- Other info: Ideal for those passionate about data analysis and quantitative finance.
The predicted salary is between 43200 - 72000 £ per year.
A leading hedge fund company is looking for an ambitious Python quantitative developer to join their London office. You\’ll collaborate closely with Quant Researchers, tackling diverse tasks such as implementing trading strategies, building research frameworks, prototyping data feeds, developing portfolio techniques, and creating risk analysis tools.
Requirements:
- Bachelors or higher in computer science or equivalent
- Strong Python knowledge
- Strong interest and knowledge of financial markets and instruments
- Experience in data analysis techniques and libraries like NumPy, SciPy, and Pandas
- Solid understanding of mathematics, including statistics, asset pricing theory, and optimization algorithms
Radley James | Quantitative Developer employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Radley James | Quantitative Developer
✨Tip Number 1
Make sure to showcase your Python skills in any discussions or networking opportunities. Being able to demonstrate your coding abilities and familiarity with libraries like NumPy, SciPy, and Pandas can set you apart from other candidates.
✨Tip Number 2
Stay updated on the latest trends in financial markets and instruments. This knowledge will not only help you in interviews but also show your genuine interest in the field, which is crucial for a role at a hedge fund.
✨Tip Number 3
Engage with quantitative finance communities online or in-person. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for positions like the one we have available.
✨Tip Number 4
Prepare to discuss your understanding of mathematical concepts relevant to the role, such as statistics and optimization algorithms. Being able to articulate how these concepts apply to trading strategies will demonstrate your readiness for the position.
We think you need these skills to ace Radley James | Quantitative Developer
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your strong Python knowledge and experience with data analysis libraries like NumPy, SciPy, and Pandas in your CV and cover letter. Tailor your application to showcase how these skills align with the role.
Showcase Your Interest in Finance: Demonstrate your passion for financial markets and instruments. Include any relevant coursework, projects, or experiences that reflect your understanding of asset pricing theory and optimization algorithms.
Detail Your Educational Background: Clearly outline your educational qualifications, especially if you have a Bachelor's degree or higher in computer science or a related field. Mention any specific courses or projects that are relevant to quantitative development.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the Quantitative Developer position at this hedge fund. Discuss how your skills and experiences make you a perfect fit for the team and the tasks you'll be tackling.
How to prepare for a job interview at Radley James
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented trading strategies or built research frameworks, and be ready to demonstrate your coding skills if asked.
✨Demonstrate Financial Knowledge
Since the role involves working closely with financial markets, make sure to brush up on your knowledge of financial instruments and market dynamics. Be ready to discuss how your understanding of these concepts can contribute to the team's success.
✨Discuss Data Analysis Techniques
Familiarize yourself with data analysis libraries like NumPy, SciPy, and Pandas. Prepare examples of how you've used these tools in past projects to analyze data or develop algorithms, as this will show your practical experience.
✨Highlight Mathematical Proficiency
Given the importance of mathematics in this role, be ready to discuss your understanding of statistics, asset pricing theory, and optimization algorithms. Consider preparing a few examples of how you've applied these concepts in real-world scenarios.
