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- 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: Gain hands-on experience with industry-standard tools and collaborative teams.
- Why this job: Make a real impact in risk management while enhancing your technical skills.
- Qualifications: 3 years of Python and SQL experience, plus 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, especially those already working in quantitative risk. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects or any risk models you've developed. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and GitLab skills. You never know when a technical question might pop up, so being sharp in these areas will help you stand out.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it shows you're proactive and keen on the opportunity.
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’re considered for this exciting opportunity!
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 risk modelling. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Risk Modelling Concepts
Since this role focuses on quantitative risk engineering, it’s crucial to understand key risk modelling concepts. Review industry-standard tools and methodologies, and be prepared to explain how you've applied these in your previous roles.
✨Showcase Your Collaboration Skills
This position involves working closely with teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight any experience you have with cross-functional teams and how you’ve contributed to achieving common goals.
✨Prepare Questions About Their Culture
The firm promotes a collaborative and inclusive culture, so think of insightful questions to ask about their team dynamics and work environment. This shows your interest in not just the role, but also in fitting into their company culture.
