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- Tasks: Develop a critical application in the risk space using Python and data analysis.
- Company: Leading financial services firm based in London with a hybrid working model.
- Benefits: Competitive pay up to £900pd, flexible working, and potential contract extensions.
- Why this job: Join a dynamic team and make an impact in the financial sector with your coding skills.
- Qualifications: Extensive Python experience, strong data analysis skills, and knowledge of financial products.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 54000 - 90000 £ 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 application within the risk space.
What you'll need to succeed:
- Extensive Python application development experience within financial services - must have.
- Strong experience with Pandas and Numpy.
- Strong data analysis and data manipulation experience within financial services - must have.
- Strong experience with Django or similar.
- Good knowledge across a range of financial products.
- Strong risk knowledge, and a good mathematical background.
- Extensive experience working with and analysing large quantities of data.
- Strong SQL experience.
What you'll get in return:
- Up to £900pd umbrella.
- London-based hybrid working.
- Initial 6-month contract with extensions.
What you need to do now:
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 Risk Python Developer employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Risk Python Developer
✨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 a Senior Risk Python Developer role. You never know who might have the inside scoop on opportunities that aren't advertised.
✨Tip Number 2
Brush up on your interview skills! Prepare for technical questions related to Python, Pandas, Numpy, and SQL. Practising with mock interviews can help us feel more confident and ready to impress when it counts.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant applications or data analysis projects, make sure to highlight them during interviews. This is our chance to demonstrate our hands-on experience and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep you updated on new roles that match your skills and interests.
We think you need these skills to ace Senior Risk Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your extensive Python experience, especially in financial services. We want to see how your skills with Pandas, Numpy, and Django shine through!
Showcase Your Data Skills: Since data analysis and manipulation are key for this role, include specific examples of projects where you've worked with large datasets. Let us know how you tackled challenges using SQL and your mathematical background.
Highlight Relevant Experience: Don’t forget to mention any experience you have with financial products and risk knowledge. This will help us see how well you fit into the role and the team!
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 get you on our radar for this exciting opportunity!
How to prepare for a job interview at Hays Technology
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially focusing on application development within financial services. Be ready to discuss specific projects where you've used Python, Pandas, and Numpy to solve complex problems.
✨Showcase Your Data Skills
Prepare examples that highlight your experience with data analysis and manipulation. Think of scenarios where you've worked with large datasets and how you used SQL to extract meaningful insights. This will demonstrate your ability to handle the data-heavy aspects of the role.
✨Understand Financial Products
Familiarise yourself with a range of financial products and risk management concepts. Being able to speak knowledgeably about these topics will show that you understand the context in which your technical skills will be applied.
✨Prepare for Technical Questions
Expect technical questions related to Django or similar frameworks. Brush up on your knowledge and be prepared to discuss how you've implemented these technologies in past projects. Practising coding challenges can also help you feel more confident.
