At a Glance
- Tasks: Develop and optimise trading algorithms using Python in a dynamic environment.
- Company: Join a leading Quant Investment manager with £20 billion under management.
- Benefits: Attractive salary, bonuses from day one, and ongoing training opportunities.
- Other info: Enjoy a structured career path with a vibrant office culture in London.
- Why this job: Be part of a cutting-edge team shaping the future of trading technology.
- Qualifications: Proficiency in Python, JavaScript, and Django is essential.
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 for Python Engineers. With a competitive salary and generous benefits, including substantial bonuses from day one, this is an ideal opportunity for those seeking meaningful and rewarding employment in the finance sector.
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 GitHub profile showcasing your Python projects or any trading algorithms you've developed. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common Python problems and be ready to discuss your thought process. We all know that quant roles can be tough, so being well-prepared is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who are eager to join the 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 is tailored to the Python Engineer role. Highlight your experience with Python, JavaScript, and Django, as these are key skills for us. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about quant investment and how your skills can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Relevant Projects:If you've worked on any projects that demonstrate your coding skills or experience in trading systems, make sure to include them. We appreciate seeing real-world applications of your abilities, so don’t hold back!
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’s super easy – just a few clicks and you’re done!
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 risk management, statistical analysis, and algorithmic trading. This will show that you’re not just a coder but also understand the financial context of your work.
✨Prepare for Technical Questions
Expect technical questions related to Python, Django, and possibly JavaScript. Review common algorithms and data structures, and be ready to explain your thought process as you solve problems. Practising mock interviews can help you feel more confident.
✨Show Enthusiasm for Continuous Learning
The client values ongoing training and career development, so express your eagerness to learn and grow within the role. Share examples of how you’ve pursued learning opportunities in the past, whether through courses, personal projects, or staying updated with industry trends.
