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- Tasks: Develop critical applications using Python in the financial risk space.
- Company: Leading London-based financial services firm with a focus on innovation.
- Benefits: Up to £900pd, hybrid working, and potential contract extensions.
- Why this job: Join a dynamic team and make an impact in financial risk management.
- Qualifications: Extensive Python experience, strong data analysis skills, and financial services knowledge.
- 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 in London employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Risk 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 or GitHub repository showcasing your Python projects, especially those involving data analysis with Pandas and Numpy. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your risk knowledge and financial products. Be ready to discuss how your experience aligns with the job requirements, especially your work with large datasets and SQL.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re here to help you every step of the way, so don’t hesitate to reach out if you need any advice.
We think you need these skills to ace Senior Risk Python Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights 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 is key for this role, include specific examples of how you've manipulated large datasets. We love seeing real-world applications of your skills!
Highlight Your Risk Knowledge: Don’t forget to mention your understanding of risk and financial products. We’re looking for someone who can navigate the complexities of the financial world with ease.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
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 in the context of financial services. Be ready to discuss your previous projects and how you've used libraries like Pandas and Numpy to solve real-world problems.
✨Showcase Your Data Skills
Prepare to talk about your experience with data analysis and manipulation. Have specific examples ready that demonstrate how you've handled large datasets and the impact your work had on risk assessment or decision-making.
✨Understand Financial Products
Familiarise yourself with a range of financial products and their associated risks. This knowledge will not only help you answer questions but also show your genuine interest in the role and the industry.
✨SQL Savvy
Since strong SQL experience is a must, be prepared to discuss your SQL skills in detail. Think of scenarios where you've used SQL for data extraction or analysis, and be ready to tackle any technical questions they might throw your way.
