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- Tasks: Develop and enhance risk models in Python while collaborating with traders and risk managers.
- Company: Join a leading energy trading firm known for its innovative approach.
- Benefits: Gain autonomy, access to senior stakeholders, and work in a dynamic environment.
- Why this job: Make a real impact on how the firm measures and manages risk in commodities.
- Qualifications: Background in commodities and strong skills in modelling and Python required.
- Other info: No up-to-date CV needed to apply!
The predicted salary is between 36000 - 60000 £ per year.
Want to work at one of the most successful energy trading firms? Here you’ll take on a broad mix of quantitative risk and analytics work across a wide range of commodities products. If you enjoy variety and real impact, this is the kind of role that offers both.
You’ll stay hands-on - building and enhancing risk models in Python, working closely with traders, risk managers and the wider analytics teams, and shaping how the firm measures and manages risk. Reporting directly to the Lead Quant Risk, you’ll have genuine autonomy and access to senior stakeholders who value strong technical judgement.
Day to day, you’ll be improving and developing the firm’s core risk metrics, ensuring they’re accurate, scalable and aligned with how the business trades. It’s a role where your technical depth and market understanding will genuinely influence decision-making.
You’ll need a background in commodities, alongside strong modelling and risk metrics (VAR, CAR, PFE, Liquidity at Risk) and Python skills.
If you want to join a firm pushing the future of commodities, apply or get in touch directly at megan@saragossa.io. No up-to-date CV required.
Responsibilities:- Hands-on development and enhancement of risk models in Python
- Collaborating with traders, risk managers and the wider analytics teams
- Shaping how the firm measures and manages risk
- Improve and develop the firm’s core risk metrics, ensuring they’re accurate, scalable and aligned with how the business trades
- Reporting to the Lead Quant Risk with autonomy and access to senior stakeholders
- Background in commodities
- Strong modelling and risk metrics experience (VAR, CAR, PFE, Liquidity at Risk)
- Python skills
Quant Risk Analyst - Commodities - Saragossa in City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Risk Analyst - Commodities - Saragossa in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at firms you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Python and risk metrics, consider creating a small project or model to demonstrate your abilities. Share it on platforms like GitHub to catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and market understanding. Be ready to discuss how you would approach risk modelling and analytics in real-world scenarios. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quant Risk Analyst - Commodities - Saragossa in City of London
Some tips for your application 🫡
Show Your Passion for Commodities: When writing your application, let us know why you're excited about working in the commodities sector. Share any relevant experiences or insights that highlight your enthusiasm and understanding of the market.
Highlight Your Technical Skills: Make sure to showcase your Python skills and experience with risk metrics like VAR, CAR, and PFE. We want to see how your technical expertise can contribute to our team, so don’t hold back on the details!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Quant Risk Analyst role. Mention how your background aligns with our needs and how you can make an impact.
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 it gets into the right hands quickly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Jobster
✨Know Your Commodities
Make sure you brush up on your knowledge of commodities and the specific products the firm deals with. Understanding market trends and how they impact risk will show that you're not just technically skilled but also market-savvy.
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. You might even be asked to solve a problem or demonstrate your coding skills during the interview, so practice writing clean, efficient code that relates to risk modelling.
✨Understand Risk Metrics
Familiarise yourself with key risk metrics like VAR, CAR, PFE, and Liquidity at Risk. Be ready to explain how these metrics are calculated and their significance in trading decisions. This will highlight your technical depth and understanding of risk management.
✨Engage with Stakeholders
Since you'll be working closely with traders and risk managers, think about how you can effectively communicate complex ideas to non-technical stakeholders. Prepare examples of how you've done this in the past to demonstrate your collaborative skills.
