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- Tasks: Analyse and enhance risk models for commodities using Python.
- Company: Leading energy trading firm with a focus on innovation.
- Benefits: Autonomy, access to senior stakeholders, and impactful work.
- Why this job: Make a real impact in the dynamic world of commodities trading.
- Qualifications: Experience in commodities, strong modelling skills, and Python proficiency.
- Other info: No CV needed to apply; just your passion and skills!
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.
Quant Risk Analyst - Commodities in Slough employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Risk Analyst - Commodities in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the commodities sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python and risk metrics, consider creating a portfolio of projects or models you've worked on. This will give you an edge and demonstrate your hands-on abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and market trends. We recommend practising common interview questions related to quantitative risk and commodities to ensure you’re ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed. Plus, if you have any questions, feel free to reach out directly to Megan at megan@saragossa.io. We’re here to help you succeed!
We think you need these skills to ace Quant Risk Analyst - Commodities in Slough
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 demonstrate your enthusiasm and understanding of the market.
Highlight Your Technical Skills: Make sure to showcase your Python skills and any experience with risk metrics like VAR or PFE. We want to see how your technical abilities can contribute to our team, so don’t hold back on the details!
Be Authentic: We appreciate genuine applications! Write in your own voice and be honest about your experiences and aspirations. This helps us get a real sense of who you are and how you might fit into our culture.
Apply Through Our Website: To make things easier for both of us, please apply directly through our website. It streamlines the process and ensures your application gets to the right people quickly!
How to prepare for a job interview at Saragossa
✨Know Your Commodities
Make sure you brush up on your knowledge of commodities markets. Understand the key products and how they are traded. This will not only help you answer questions but also show your genuine interest in the role.
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially in building risk models. You might even be asked to solve a problem on the spot, so practice coding challenges related to risk metrics beforehand.
✨Understand Risk Metrics Inside Out
Familiarise yourself with key risk metrics like VAR, CAR, and Liquidity at Risk. Be ready to explain how these metrics are calculated and their importance in trading decisions. This will demonstrate your technical depth and understanding of the role.
✨Engage with Stakeholders
Since you'll be working closely with traders and risk managers, think about how you can communicate complex ideas clearly. Prepare examples of how you've successfully collaborated with different teams in the past to highlight your interpersonal skills.
