At a Glance
- Tasks: Collaborate with researchers to develop cutting-edge trading systems and predictive models.
- Company: Dynamic financial firm at the forefront of technology and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with significant potential for career advancement.
- Why this job: Join a team that shapes the future of finance using advanced technology.
- Qualifications: Experience in C# and Python, with a passion for quantitative analysis.
The predicted salary is between 36000 - 60000 £ per year.
Our Quantitative Developers are the enablers of our success. They work side-by-side with our researchers to realise their ideas in global financial markets. They work at the bleeding-edge with immense compute power at their fingertips to achieve our aim: predicting the future. The core tech stack is C# and Python, productionised in our own datacentres.
- Trading systems – reliable and performant systems able to trade 24/6 for our customers, with real money at stake
- Modelling – building core capabilities and assisting quant researchers in our cutting edge prediction capabilities
- Simulation – back-testing frameworks for validating the strategies our researchers produce and for assessing their ongoing performance
- Research tooling – front-end UX and workflow for our quant researchers
- Performance and scalability – optimising our trading and research systems to unlock new capabilities
Quantitative Developer in London employer: Europython
As a Quantitative Developer at our company, you will be part of a dynamic and innovative team that thrives on collaboration and cutting-edge technology. We offer a stimulating work environment where your contributions directly impact our success in global financial markets, alongside opportunities for professional growth and development. With access to immense compute power and a focus on performance and scalability, you will be empowered to push the boundaries of what's possible in quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the industry, especially those who work as Quantitative Developers. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your C# or Python prowess, make sure to highlight it. We love seeing practical applications of your coding skills!
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We want to see how you think, so practice coding challenges and be ready to explain your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Quantitative Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with C# and Python, and any relevant projects that showcase your skills in trading systems or modelling. We want to see how you can contribute to our mission!
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 aligns with our goals. Be sure to mention any experience with back-testing frameworks or performance optimisation.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's through a project or a previous job, we love seeing examples of how you’ve tackled challenges in trading or research.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Europython
✨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, especially in trading systems or modelling.
✨Understand the Financial Markets
Familiarise yourself with global financial markets and how quantitative strategies are applied. Being able to discuss current trends or recent developments will show your passion and understanding of the industry.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice coding problems related to performance optimisation and back-testing frameworks, as these are key areas for the role. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Showcase Your Collaboration Skills
Since you'll be working closely with researchers, highlight any past experiences where teamwork was essential. Be prepared to discuss how you’ve contributed to a project’s success through collaboration and communication.
