Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance analytics applications and develop tools for fair markets.
- Company: A leading financial regulatory organisation in Edinburgh.
- Benefits: 25 days annual leave, hybrid working options, and a chance to shape finance services.
- Why this job: Make a real impact on consumer protections in the finance sector.
- Qualifications: Strong Python skills and experience with agile methodologies.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 40000 - 50000 £ per year.
A financial regulatory organization in Edinburgh is seeking a Software Engineer to enhance analytics applications and improve consumer protections. The role requires strong Python programming skills and experience with agile methodologies. Collaborating closely with teams, you will develop tools that support fair markets.
Benefits include 25 days of annual leave and options for hybrid working. Ideal for those looking to impact the future of finance services.
Software Engineer – Analytics & Data Science (Hybrid) in Edinburgh employer: PSR Limited
Contact Detail:
PSR Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer – Analytics & Data Science (Hybrid) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current employees in the financial regulatory sector on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to analytics or data science. This gives us a chance to demonstrate our coding chops beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on agile methodologies. We should be ready to discuss how we've used these practices in past projects, as it’s a key part of the role.
✨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 track of our progress and any updates directly from there.
We think you need these skills to ace Software Engineer – Analytics & Data Science (Hybrid) in Edinburgh
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming experience in your application. We want to see how you've used it in past projects, especially in analytics or data science contexts.
Emphasise Agile Experience: If you've worked in agile environments before, let us know! Share specific examples of how you collaborated with teams and adapted to changes during projects.
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills and experiences align with enhancing analytics applications and improving consumer protections in finance.
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 don’t miss out on any important updates!
How to prepare for a job interview at PSR Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to solve real-world problems, especially in analytics or data science.
✨Familiarise Yourself with Agile Methodologies
Since the role requires experience with agile methodologies, be prepared to talk about your experience working in agile teams. Think of specific examples where you contributed to sprints or collaborated with cross-functional teams.
✨Understand the Financial Regulatory Landscape
Research the financial regulatory organisation and its mission. Understanding their role in consumer protection and fair markets will show your genuine interest in the position and help you align your answers with their goals.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the tools they use, and how they measure success in their analytics applications. This shows you're engaged and serious about the role.