Voor een van onze klanten zijn wij op zoek naar een ervaren Credit risk & data analyst.
Startdatum: ASAP Einddatum: 28/02/2025 (met kans op verlenging) Locatie: Brussel (min 2 dagen on site)
Description As a Credit Risk Analyst, you will play an important role in shaping the credit risk management strategy, with responsibility for refining and implementing credit assessment methodologies for large accounts and strategic suppliers.
In this position, you will have the opportunity to manage the large accounts and suppliers portfolio, leveraging advanced financial analysis and techniques to assess counterparty risk. This role also serves as a key interface between the Credit team and our Strategic Business Units, as well as with suppliers, ensuring a cohesive approach to credit risk management across all stakeholders. This is a unique opportunity to engage in Luminus’s most strategic projects, where your contributions will directly impac t the company’s financial resilience and growth objectives.
Identifies company-wide risks and assesses the impact of project and contract with Large accounts and Strategic suppliers acceptance on the portfolio, performs credit analysis, and provides the business with a credit opinion prior to contract conclusion.
Continuously monitors, reports, and enhances credit modelling.
Conducts in-depth credit assessments of counterparties, including energy producers, traders, utilities, and financial institutions.
Monitors credit exposures and ensures compliance with internal limits and regulatory requirements.
Continuously tracks the impact of credit acceptance on open receivables and bad debt
Requirements
Strong ability to quickly synthesize relevant information and deliver actionable insights
Proactive personality, eager to challenge the status quo and propose innovative solutions
Excellent organizational skills, with attention to detail and follow-through
Resilient under pressure, with strong problem-solving abilities
Experienced in financial analysis, ideally with knowledge of credit rating techniques andportfolio management
Analytical mindset with a high affinity for numbers; proficient in programming tools such asSAS, Python, or SQL