Quant Risk Analyst - Commodities - Saragossa

Overview

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

No up-to-date CV required.

#Jobster

• 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