Energy Trading Credit Risk Analyst — Hybrid

Centrica Energy; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Centrica Energy is seeking a Credit Risk Analyst to protect and enable one of Europe’s leading energy trading businesses. You will work with Trading, Risk, Quantitative Analytics, Finance and Legal teams to shape credit strategy and monitor exposures.

Based in London with hybrid working (minimum 3 days in office) and occasional travel to other Centrica Energy locations. You will contribute to innovative risk models, automation initiatives and governance of risk processes.

Qualifications

• Proven experience in Credit Risk within commodity trading or financial markets.
• Knowledge of energy markets (power, gas), LNG and/or oil desirable.
• Strong analytical skills and attention to detail.
• Ability to influence stakeholders at all levels.

Responsibilities

• Conduct detailed financial and counterparty assessments across a portfolio of trading counterparties.
• Maintain and monitor counterparty credit ratings, limits and risk appetite frameworks.
• Monitor current and forward credit exposures across traded products and structured transactions.
• Provide timely credit risk analysis and recommendations to support commercial decisions.
• Review transaction structures and identify appropriate risk mitigation measures.
• Produce and review management information and credit risk reporting.

Skills

Credit Risk

Counterparty credit assessment

Financial statement analysis

Risk management principles

Analytical and problem-solving

Stakeholder communication

Tools

Python

SQL

Job description

Centrica Energy is seeking a Credit Risk Analyst to protect and enable one of Europe’s leading energy trading businesses. You will work with Trading, Risk, Quantitative Analytics, Finance and Legal teams to shape credit strategy and monitor exposures.

Based in London with hybrid working (minimum 3 days in office) and occasional travel to other Centrica Energy locations. You will contribute to innovative risk models, automation initiatives and governance of risk processes.