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- Tasks: Develop and enhance risk models in Python for commodities trading.
- Company: Leading energy trading firm based in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Influence key decisions and collaborate with traders in a fast-paced industry.
- Qualifications: Experience in commodities and strong knowledge of risk metrics like VAR and PFE.
- Other info: Hands-on role with direct engagement with senior stakeholders.
The predicted salary is between 36000 - 60000 £ per year.
A leading energy trading firm in London is seeking a skilled quantitative risk analyst to develop and enhance risk models in Python. This role demands a background in commodities and strong experience with risk metrics such as VAR and PFE.
You will collaborate closely with traders and senior analysts, influencing key decision-making. Applicants should be comfortable working hands-on and ready to engage with senior stakeholders.
Contact megan@saragossa.io to apply directly.
Quant Risk Analyst, Commodities: Shape Risk Metrics in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Risk Analyst, Commodities: Shape Risk Metrics in 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 go a long way, and you never know who might help you land that interview.
✨Tip Number 2
Prepare for those tricky technical interviews! Brush up on your Python skills and be ready to discuss risk metrics like VAR and PFE. Practising common interview questions can really boost your confidence.
✨Tip Number 3
Showcase your hands-on experience! When chatting with potential employers, share specific examples of how you've developed or enhanced risk models. This will demonstrate your practical knowledge and make you stand out.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Quant Risk Analyst, Commodities: Shape Risk Metrics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and risk metrics like VAR and PFE in your application. We want to see how your background in commodities can add value to our team!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Quant Risk Analyst role. We love seeing candidates who take the time to align their skills with what we’re looking for.
Be Clear and Concise: When writing your cover letter, keep it straightforward and to the point. We appreciate clarity, so make sure you communicate your key achievements and how they relate to the role without waffling on.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Jobster
✨Know Your Risk Metrics
Make sure you brush up on your knowledge of risk metrics like VAR and PFE. Be ready to discuss how you've applied these in past roles, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Python Skills
Since this role involves developing risk models in Python, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures relevant to risk analysis.
✨Engage with Stakeholders
This position requires collaboration with traders and senior analysts. Think about examples from your experience where you've successfully communicated complex ideas to non-technical stakeholders. This will show your ability to influence decision-making.
✨Prepare Questions
Have a few insightful questions ready for your interviewers. Ask about the firm's approach to risk management or how they see the role evolving. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
