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- Tasks: Develop a critical research and analytics platform using Python.
- Company: Leading financial services firm based in London.
- 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 financial analytics.
- Qualifications: Strong Python skills and experience in quantitative roles required.
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 Python Developer to work on the development of a business-critical research and analytics platform.
What you'll need to succeed:
- Strong Python software engineering experience beyond exploratory or ad-hoc scripting
- Strong experience in Equity Factor Model building
- Hands-on experience working with notebooks as part of real-world research or analytical workflows
- Experience building systems that support data analysis, simulations, or computational research
- Good experience working in a quantitative role.
What you'll get in return:
- Up to £1100pd Umbrella
- Initial 12-month contract with extensions
- London-based hybrid working
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Senior Research Python Developer employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Python Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Let them know you're on the lookout for a Senior Python Developer role. You never know who might have the inside scoop on opportunities!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to equity factor models or data analysis. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with notebooks and analytical workflows. Practice common interview questions to boost your confidence!
✨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 here to help you every step of the way in landing that dream job!
We think you need these skills to ace Senior Research Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python software engineering experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Equity Factor Model building!
Showcase Your Experience: When writing your application, emphasise your hands-on experience with notebooks and any real-world research or analytical workflows. We love seeing practical examples of how you've used your skills in a quantitative role.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for this Senior Python Developer position.
Apply Through Our Website: Don’t forget to apply 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 Hays
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with software engineering and how you've applied Python in real-world scenarios, especially in building Equity Factor Models.
✨Showcase Your Analytical Skills
Prepare to talk about your hands-on experience with notebooks and how you've used them in research or analytical workflows. Bring examples of projects where you've built systems for data analysis or simulations to demonstrate your quantitative expertise.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services sector, particularly how research and analytics platforms operate. This will help you connect your technical skills to the needs of the client and show that you understand their business.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the role and the company. This shows your genuine interest and helps you assess if the position aligns with your career goals. Think about asking about the team structure or the technologies they use.