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- Tasks: Design and deploy cloud-native Python applications for trading and data analysis.
- Company: Global investment manager based in Greater London with a focus on innovation.
- Benefits: Exciting opportunities in a dynamic environment with potential for growth.
- Why this job: Collaborate with researchers and traders to create innovative solutions in the commodities market.
- Qualifications: Significant experience in Python, numerical libraries, and ETL pipeline development.
- Other info: Join a team that values creativity and offers a fast-paced work culture.
The predicted salary is between 43200 - 72000 £ per year.
A global investment manager in Greater London is seeking a quantitative developer to design and deploy cloud-native Python applications that support trading and data analysis. The successful candidate will collaborate with researchers and traders, focusing on innovative solutions for the commodities market. Significant experience in Python, numerical libraries, and developing ETL pipelines is required. This role provides an exciting opportunity in a dynamic environment.
Python Quant Developer — Cloud Trading Tools employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quant Developer — Cloud Trading Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in quantitative development or trading. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to cloud applications and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your numerical libraries and ETL pipeline knowledge. Practise coding challenges and be ready to discuss your thought process during problem-solving. We want you to shine!
✨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 are proactive and eager to join our team.
We think you need these skills to ace Python Quant Developer — Cloud Trading Tools
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world scenarios, especially in developing cloud-native applications or ETL pipelines.
Quantitative Experience Matters: Don’t forget to mention any quantitative analysis or trading experience you have. We’re looking for someone who can collaborate effectively with researchers and traders, so let us know how you fit into that picture!
Tailor Your Application: Take a moment to customise your application for this role. We love seeing candidates who take the time to align their skills and experiences with what we’re looking for in a Python Quant Developer.
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 Qube Research & Technologies
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with numerical libraries and how you've used them in past projects. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Cloud-Native Applications
Since the role focuses on cloud-native applications, familiarise yourself with cloud platforms and services. Be prepared to explain how you've designed or deployed applications in a cloud environment, and think of examples where you've optimised performance or scalability.
✨Showcase Your ETL Pipeline Experience
The job requires developing ETL pipelines, so come armed with specific examples of your work in this area. Discuss the tools and technologies you've used, the challenges you faced, and how you overcame them. This will show your practical knowledge and readiness for the role.
✨Collaborate and Communicate
This position involves working closely with researchers and traders, so highlight your teamwork and communication skills. Prepare to share experiences where you've successfully collaborated on projects, especially in fast-paced environments like trading or finance.
