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- Tasks: Develop and manage Python frameworks for validating trading strategies and executing live trades.
- Company: Global quantitative investment manager with a focus on innovation and work-life balance.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: Strong Python skills, understanding of financial markets, and excellent communication.
- Other info: Exciting career prospects in a collaborative and innovative environment.
The predicted salary is between 36000 - 60000 £ per year.
A global quantitative investment manager is seeking a Python Developer to join their development team in London. You will contribute to the core Python framework used for validating trading strategies, build and manage submission pipelines, and design the production platform for executing live strategies.
Excellent Python development skills, an understanding of financial markets, and strong communication abilities are essential for this role. The company promotes a culture of innovation and work-life balance.
Python Quant Developer — Trading Signals Platform 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 — Trading Signals Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a GitHub repository with projects that highlight your Python prowess, especially those related to trading strategies or financial data analysis.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges and be ready to discuss how you can contribute to the team’s innovative culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining the team.
We think you need these skills to ace Python Quant Developer — Trading Signals Platform
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python development experience in your application. We want to see how you've used Python in real-world scenarios, especially if it relates to financial markets or trading strategies.
Communicate Clearly: Strong communication skills are key for us. When writing your application, be clear and concise. Explain your thought process and how you approach problem-solving, as this will give us insight into your working style.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Python Quant Developer role. Mention any relevant projects or experiences that align with our needs.
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 shows us you’re genuinely interested in joining 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 prepared to discuss your previous projects and how you've used Python in real-world scenarios, especially in relation to trading strategies.
✨Understand Financial Markets
Since this role involves working with trading signals, it's crucial to have a solid grasp of financial markets. Familiarise yourself with key concepts and be ready to discuss how they relate to the development of trading strategies.
✨Showcase Your Communication Skills
Strong communication is essential for this position. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical team members or stakeholders.
✨Embrace Innovation
The company values innovation, so come prepared with ideas on how you can contribute to their culture. Think about how you can improve existing processes or introduce new technologies that could enhance the trading platform.
