Energy Market Risk Analyst - Python & Analytics

ENGIE Belgium; Ukkel; Sur place; EUR 60 000 - 85 000; Plein temps

Résumé du poste

ENGIE Belgium in Brussels seeks a Market Risk Analyst to ensure trading activity aligns with market risk requirements and approved limits. The role focuses on monitoring, reporting and improving risk controls across the local and global framework.

You will work with a Master or MBA, possess Python coding skills and a strong grasp of commodity markets and risk management principles, and collaborate with stakeholders to optimise risk/reward trade-offs.

Qualifications

• Master or MBA required or equivalent
• Strong knowledge of commodity markets and risk management principles
• Proven analytical skills and ability to investigate root causes
• Experience in energy/commodities trading is a plus
• Ability to challenge Front Office hedging strategies
• Excellent communication at all levels of the organization

Responsabilités

• Ensure trading activities comply with market risk requirements and limits.
• Monitor, report and analyze market risk; tailor monitoring to local needs.
• Calibrate and control local/global risk mandates for new and existing activities.
• Challenge Front Office hedging strategies to optimise risk/reward.
• Assess risk for new transactions/products requiring risk validation.
• Maintain and improve market risk tools and reporting templates.

Connaissances

Python coding

Commodity markets understanding

Risk management principles

Analytical mindset

Stakeholder communication

Team collaboration

Formation

Master or MBA

Outils

Python

Description du poste

ENGIE Belgium in Brussels seeks a Market Risk Analyst to ensure trading activity aligns with market risk requirements and approved limits. The role focuses on monitoring, reporting and improving risk controls across the local and global framework.

You will work with a Master or MBA, possess Python coding skills and a strong grasp of commodity markets and risk management principles, and collaborate with stakeholders to optimise risk/reward trade-offs.