At a Glance
- Tasks: Develop a critical research and analytics platform using Python.
- Company: Leading financial services firm based in London with a hybrid work model.
- Benefits: Competitive pay up to £1100 per day and flexible working arrangements.
- Other info: Initial 12-month contract with potential for extensions.
- Why this job: Join a dynamic team and make an impact in the finance sector.
- Qualifications: Strong Python skills and experience in quantitative analysis 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 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 Research Python Developer in London
✨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 skills. Be ready to discuss your experience with notebooks and real-world research workflows. Practice common interview questions related to quantitative roles 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 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Python Developer role. Highlight your strong Python software engineering experience and any relevant projects that showcase your skills in building Equity Factor Models.
Showcase Your Experience: Don’t just list your skills; provide examples of how you've used them in real-world research or analytical workflows. Mention any hands-on experience with notebooks and how it contributed to your previous projects.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for easy reading and ensure you’re communicating your quantitative experience effectively. We want to see your strengths 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 in areas like software engineering and building Equity Factor Models. Be ready to discuss specific projects where you've applied these skills, as this will show your depth of knowledge.
✨Showcase Your Analytical Workflows
Prepare to talk about your hands-on experience with notebooks and how you've used them in real-world research or analytical workflows. Bring examples of your work that demonstrate your ability to build systems for data analysis and simulations.
✨Quantitative Role Experience Matters
Highlight your experience in quantitative roles during the interview. Be prepared to discuss how your background in quantitative analysis has shaped your approach to problem-solving and decision-making in previous projects.
✨Ask Insightful Questions
Don’t forget to prepare some thoughtful questions about the company’s research and analytics platform. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.