Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and maintain risk models using Python in a hybrid work environment.
- Company: Dynamic financial services firm in Greater London with an inclusive culture.
- Benefits: Hands-on exposure to industry-standard tools and collaborative team environment.
- Why this job: Make a real impact in risk management while enhancing your technical skills.
- Qualifications: 3 years of experience in Python, SQL, and familiarity with GitLab.
The predicted salary is between 48000 - 72000 £ per year.
A financial services firm in Greater London is seeking a Quantitative Risk Engineer to develop and maintain risk models. The role involves working with Python for model development, collaborating with teams for requirements, and automating data processes in a hybrid environment.
Applicants should have around 3 years of experience in Python and SQL, as well as familiarity with GitLab. This opportunity offers hands-on exposure to industry-standard risk modeling concepts and tools while promoting a collaborative and inclusive culture.
Senior Python Quant Dev – Risk (Hybrid, London) employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Quant Dev – Risk (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your Python prowess, share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those technical questions! Brush up on your SQL and risk modelling concepts. We want you to feel confident when discussing your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Python Quant Dev – Risk (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, as well as any relevant projects you've worked on. We want to see how your skills align with the role of a Quantitative Risk Engineer!
Showcase Your Collaboration Skills: Since this role involves working closely with teams, don’t forget to mention any collaborative projects or experiences. We love seeing how you’ve worked with others to achieve common goals!
Highlight Your Technical Proficiency: Be sure to include your familiarity with GitLab and any other tools you’ve used in risk modeling. We’re looking for candidates who can hit the ground running, so show us what you’ve got!
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 from our team!
How to prepare for a job interview at Barclay Simpson
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python for model development. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Risk Modelling Concepts
Since this role involves risk models, it’s crucial to understand key concepts in quantitative risk engineering. Review industry-standard tools and methodologies, and be prepared to discuss how you’ve applied these in your previous roles.
✨Showcase Your Collaboration Skills
This position emphasises teamwork, so think of examples where you’ve successfully collaborated with others. Be ready to explain how you gather requirements from different teams and how you ensure everyone is on the same page during projects.
✨Prepare for Technical Questions on SQL and GitLab
Given the importance of SQL and GitLab in this role, make sure you’re comfortable discussing your experience with both. Brush up on common SQL queries and version control practices, and be ready to answer technical questions or even solve problems on the spot.
