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- Tasks: Develop innovative trading systems using C# and Python with researchers.
- Company: Leading quantitative finance firm in London with a focus on innovation.
- Benefits: Competitive compensation and a healthy work-life balance.
- Why this job: Join a dynamic team and make an impact in the world of finance.
- Qualifications: Strong software engineering skills and interest in quantitative finance.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading quantitative finance firm in London is seeking a Quantitative Developer to work closely with researchers on innovative trading systems using C# and Python. The ideal candidate will demonstrate strong software engineering skills and an interest in quantitative finance, alongside the ability to deliver scalable solutions that drive business impact. This role offers competitive compensation and a healthy work-life balance.
Quantitative Developer for Trading & ML Platforms in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer for Trading & ML Platforms in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative finance space on LinkedIn or at industry events. We can’t stress enough how a personal connection can give you an edge over other candidates.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in C# and Python, especially those related to trading systems or machine learning. This will help us see your practical experience and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We recommend practicing coding challenges on platforms like LeetCode or HackerRank to get into the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Developer for Trading & ML Platforms in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering skills, especially in C# and Python. We want to see how you can apply these skills to create innovative trading systems, so don’t hold back!
Connect with Quantitative Finance: Let us know about your interest in quantitative finance! Share any relevant projects or experiences that demonstrate your passion for the field. This will help us see how you fit into our team.
Tailor Your Application: Take a moment to customise your application for this role. Mention specific aspects of the job description that excite you and how your background aligns with our needs. It shows us you’re genuinely interested!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at G-Research
✨Know Your Tech Stack
Make sure you’re well-versed in C# and Python, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages to solve problems or create scalable solutions.
✨Understand Quantitative Finance Basics
Even if you're primarily a developer, having a solid grasp of quantitative finance concepts will set you apart. Familiarise yourself with key terms and principles, so you can engage meaningfully with researchers during the interview.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice coding problems that require you to think critically and demonstrate your software engineering skills. Websites like LeetCode or HackerRank can be great for this.
✨Show Your Passion for Innovation
This firm values innovative thinking, so come prepared with examples of how you've contributed to projects that pushed boundaries. Discuss any personal projects or research that showcase your interest in developing cutting-edge trading systems.
