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- Tasks: Build and enhance risk models in Python while collaborating with traders.
- Company: Leading energy trading firm in the heart of London.
- Benefits: Genuine autonomy, access to senior stakeholders, and a dynamic work environment.
- Why this job: Influence risk decision-making and make an impact in the commodities sector.
- Qualifications: Strong background in commodities and experience with risk metrics.
The predicted salary is between 48000 - 72000 £ per year.
A leading energy trading firm in the City of London is looking for a quantitative risk analyst. The role involves building and enhancing risk models in Python while collaborating with traders and risk managers. Candidates should have a strong background in commodities and experience with risk metrics. This position offers genuine autonomy and access to senior stakeholders, making it ideal for those eager to influence risk decision-making in a dynamic environment.
Senior Quant Risk Analyst – Commodities, Hands-on Python in City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Risk Analyst – Commodities, Hands-on Python in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the commodities and risk analysis space on LinkedIn. A friendly message can open doors, and who knows, they might even refer you directly to hiring managers.
✨Tip Number 2
Show off your Python skills! If you’ve got a portfolio of projects or GitHub repositories, make sure to highlight them during interviews. Demonstrating your hands-on experience can really set you apart from the competition.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of risk metrics and be ready to discuss how you've applied them in real-world scenarios. This will show that you’re not just book-smart but also practical.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications with us!
We think you need these skills to ace Senior Quant Risk Analyst – Commodities, Hands-on Python in City of London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your hands-on experience with Python in your application. We want to see how you've used it to build or enhance risk models, especially in the commodities space.
Demonstrate Your Commodities Knowledge: Since this role is all about commodities, don’t forget to showcase your background in this area. Share specific examples of how you've worked with risk metrics related to commodities in your previous roles.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills without unnecessary fluff.
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 in our dynamic environment.
How to prepare for a job interview at Jobster
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially as they relate to quantitative risk analysis. Be prepared to discuss specific libraries and frameworks you've used in past projects, and maybe even solve a coding challenge during the interview.
✨Understand Commodities Like a Pro
Since this role focuses on commodities, it’s crucial to have a solid grasp of the market dynamics and risk metrics associated with them. Familiarise yourself with recent trends and be ready to discuss how they might impact risk models.
✨Showcase Your Collaboration Skills
This position involves working closely with traders and risk managers, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where your input influenced decision-making or improved processes.
✨Prepare Questions for Senior Stakeholders
Since you'll have access to senior stakeholders, think about insightful questions you can ask them. This shows your interest in the role and helps you understand their expectations, which can set you apart from other candidates.
