At a Glance
- Tasks: Develop and optimise trading algorithms using Python and Django.
- Company: Leading Quant Investment manager with a collaborative and innovative culture.
- Benefits: Attractive salary, substantial bonuses, and ongoing training opportunities.
- Other info: Structured career path with a dynamic work environment in London.
- Why this job: Join a top-tier firm and make an impact in the fast-paced world of trading.
- Qualifications: Proficiency in Python, JavaScript, and Django required.
The predicted salary is between 60000 - 80000 € per year.
Client Overview
Our client is one of the largest Quant Investment managers globally, with around £20 billion under management. They are mainly quant based but have high frequency and systematic exposure.
Position Details
The role sits with an excellent working environment with ongoing training and a structured career path. You can also expect an excellent salary and benefits package, including a large bonus from day 1.
Location
My client is based in London with 2 days in the office.
Skills Required
- Python
- Javascript
- Django
Python Engineer Trading in London - Quant Capital employer: Java Script Works
As a leading Quant Investment manager in London, our client offers an exceptional work environment that prioritises ongoing training and structured career progression. Employees benefit from a competitive salary, substantial bonuses from day one, and a collaborative culture that fosters innovation and growth in the dynamic field of quantitative trading.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer Trading in London - Quant Capital
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at quant firms. A friendly chat can lead to insider info and even referrals that could get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any relevant work. This is your chance to demonstrate your expertise and passion for trading and quant strategies.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and data structures in Python, and be ready to solve problems on the spot. We all know how crucial this is in the quant world!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are eager to join our team.
We think you need these skills to ace Python Engineer Trading in London - Quant Capital
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and JavaScript skills, as well as any experience with Django. We want to see how your background aligns 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 excited about this opportunity with a quant investment manager. We love seeing genuine enthusiasm, so let us know what draws you to the role and our company.
Showcase Your Problem-Solving Skills:In the world of trading, problem-solving is key. If you’ve tackled complex challenges in your previous roles, share those experiences in your application. We’re looking for candidates who can think critically and adapt quickly!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Java Script Works
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with Python in detail, including any projects you've worked on. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Quantitative Concepts
Since the role is with a quant investment manager, it’s crucial to understand basic quantitative finance concepts. Brush up on topics like statistical analysis and algorithmic trading, as these may come up during technical discussions.
✨Showcase Your Experience with Django
If you have experience with Django, be ready to talk about specific projects where you used it. Highlight how you’ve implemented features or solved problems using Django, as this will show your practical knowledge and ability to contribute to their tech stack.
✨Prepare Questions About the Company Culture
The working environment is important, so prepare thoughtful questions about the company culture and training opportunities. This shows that you’re not just interested in the salary and benefits, but also in growing within the company and contributing positively to the team.
