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- Tasks: Develop a next-gen research platform using Python and collaborate with researchers.
- Company: Leading financial services firm based in London with a focus on innovation.
- Benefits: Up to £1100pd, hybrid working, and potential contract extensions.
- Other info: Exciting opportunity for career growth in a collaborative environment.
- Why this job: Join a dynamic team and make an impact in quantitative finance and research.
- Qualifications: Strong Python skills and experience in data analysis or computational research.
The predicted salary is between 66000 - 77000 £ per year.
I am currently working with a London-based financial services client who are actively seeking a Senior Fullstack Python Developer to work on the development of a next-generation research platform.
What you'll need to succeed:
- Strong Python software engineering experience beyond exploratory scripts
- Hands-on experience working with notebooks as part of real analytical or research workflows
- Experience building systems that support data analysis, simulations, or computational research
- Understanding of the challenges around reproducibility, dependency management, and scientific software performance
- Comfortable working across the stack (backend + UI or APIs)
- Ability to collaborate closely with non-traditional
Senior Scientific Fullstack Python Developer in London employer: Hays Specialist Recruitment Limited
Contact Detail:
Hays Specialist Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Scientific Fullstack Python Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data analysis or research workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of reproducibility and dependency management in scientific software. Be ready to discuss how you've tackled these challenges in past projects – it’ll show you’re the real deal!
✨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 here to help you every step of the way in landing that dream job.
We think you need these skills to ace Senior Scientific Fullstack Python Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Fullstack Python Developer role. Highlight your strong Python experience and any relevant projects that showcase your skills in building systems for data analysis or research.
Showcase Your Experience: Don’t just list your skills; provide examples of how you've used them in real-world scenarios. Mention any hands-on experience with notebooks and how you've tackled challenges around reproducibility and performance in your past work.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your experience and avoid jargon unless it’s relevant to the role. We want to see your personality shine through!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially beyond just writing exploratory scripts. Be ready to discuss your experience with building systems for data analysis and simulations, as this will be crucial for the role.
✨Familiarise Yourself with Research Workflows
Since you'll be working closely with researchers and quants, it’s essential to understand how notebooks fit into analytical workflows. Prepare examples of how you've used notebooks in real projects to demonstrate your hands-on experience.
✨Understand Reproducibility Challenges
Be prepared to talk about reproducibility, dependency management, and performance in scientific software. Think of specific challenges you've faced and how you overcame them, as this shows your depth of understanding.
✨Show Your Collaborative Spirit
This role requires collaboration with non-traditional software engineers. Highlight your experience working with scientists or researchers, and be ready to discuss how you’ve effectively communicated technical concepts to non-technical users.