Job Description

Company Description

MET Group is an integrated European energy company, headquartered in Switzerland, with activities in natural gas and power, focused on multi‑commodity wholesale, trading and sales, as well as energy infrastructure and industrial assets.

The Group is represented in 24 countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Czech Republic, Croatia, France, Germany, Greece, Hungary, Italy, North Macedonia, Moldova, Poland, Romania, Serbia, Singapore, Slovakia, Spain, Switzerland, The Netherlands, Turkey and Ukraine.

MET is present in 33 national energy markets and 51 international trading hubs. The Group has a significant end‑consumer presence in Belgium, Croatia, Italy, Hungary, Romania, Slovakia, Spain, and The Netherlands.

The company has 1400+ permanent staff. The company is owned 90% by MET employees and 10% by Keppel Infrastructure, a wholly owned subsidiary of Keppel Corporation*.

• Listed on the Singapore Exchange

Job Description

The Credit Risk Analyst will help to ensure effective and responsible credit risk management throughout the MET Group. The role involves conducting thorough financial and credit risk assessments for a wide range of corporate and financial counterparties, with a primary focus on European energy markets.

Beyond strong core credit skills, we are looking for an analytical and digitally minded professional who is comfortable using modern data and technology tools to improve the quality, efficiency and scalability of credit risk analysis. The role provides an opportunity to develop practical capabilities in data analytics, automation and AI as these increasingly become part of the day-to-day work of a Credit Risk Analyst.

Based in Budapest, the position is part of the Global Credit Risk Function supporting our commercial operations and reports directly to the Credit Risk Team Lead and indirectly to the Head of Credit.

Essential responsibilities

Credit Risk Assessment & Portfolio Management

• Perform in-depth qualitative and quantitative credit risk analyses of corporate and financial counterpartie
• Prepare clear, structured and decision-oriented credit assessments, including ratings, credit limits and recommendations.
• Maintain and review key credit risk metrics, including ratings, PDs, limits and utilisation.
• Identify early-warning signals and recommend appropriate risk mitigation measures, including collateral, prepayments, limit adjustments and action plans.
• Contribute to portfolio and sector reviews, stress testing and scenario analysis.
• Support recovery and workout activities for financially distressed counterparties.

Risk Monitoring, Reporting & Governance

• Monitor exposure developments and anticipate potential credit limit breaches, ensuring timely escalation
• Contribute to regular credit risk and portfolio reporting.
• Present credit views in internal working groups and governance forums.
• Support Credit Risk Insurance activities, including limit monitoring and periodic declarations.
• Contribute to the continuous development of credit risk methodologies and best practices.

Data, Analytics & Technology-Enabled Credit Risk

• Use data, analytics and digital tools to enhance credit analysis, portfolio monitoring and reporting.
• Identify opportunities to automate repetitive activities and improve the efficiency and consistency of credit processes.
• Support the development of portfolio-level analytics and early-warning capabilities.
• Explore practical applications of (e.g. Excel modelling, Power BI, Python, SQL, VBA, low‑code tools and AI) automation in credit risk management.
• Collaborate with Credit, IT and Digital Transformation teams on relevant initiatives.

Qualifications

• 2-5 years of experience in credit risk, financial analysis or risk management
• University degree in Finance or economics
• Exposure to the energy, utilities, commodities, renewables, or energy trading industries is a strong advantage
• Strong understanding of financial statements, cash flow analysis, leverage, liquidity and key credit risk drivers
• Experience with Power BI, Python, SQL, VBA, low-code solutions, AI-enabled tools or similar technologies is an advantage
• Strong interest in using analytics, automation and AI to solve practical business problems and improve credit risk processes
• Comfortable working with large datasets, imperfect information and tight deadlines
• Willingness to continuously develop digital and analytical capabilities as the Credit Risk Analyst role evolves
• Advanced Excel skills are expected
• Fluency in English; additional European languages are an advantage

Additional Information