At a Glance
- Tasks: Transform quantitative research into scalable software for trading and data analysis.
- Company: Global investment firm focused on technology-driven strategies.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in financial markets with your coding skills.
- Qualifications: Degree in relevant field and 2+ years of experience in Python or C++.
- Other info: Dynamic role with exposure to innovative financial technologies and career advancement.
The predicted salary is between 36000 - 60000 £ 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 in England employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C++, or kdb+/q. We want to see how you turn ideas into robust software, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative skills and coding challenges. We recommend practicing with platforms that focus on algorithmic problems to get you in the zone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Developer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, C++, or kdb+/q. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative development and how your background in computer science or engineering makes you a great fit for us.
Showcase Your Technical Skills: Don’t forget to mention your understanding of financial data and modern software development practices. We love seeing candidates who can bridge the gap between research and engineering, so highlight any relevant experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Radley James
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, C++, and kdb+/q. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages. They’ll likely ask you to solve a problem or write some code during the interview, so practice common algorithms and data structures.
✨Understand Financial Concepts
Since this role involves working with financial data, it’s crucial to have a solid grasp of relevant concepts. Familiarise yourself with systematic and quantitative strategies, as well as how trading systems operate. Being able to discuss how your technical skills can apply to financial markets will set you apart.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your analytical thinking and problem-solving abilities. Think of examples from your past work where you’ve tackled complex issues, especially in software development or data analysis. Be ready to explain your thought process clearly and concisely.
✨Communicate Effectively
Strong technical communication skills are a must for this role. Practice explaining your projects and ideas in a way that’s easy to understand, even for those who might not have a technical background. This will help you connect with both technical and non-technical interviewers.