Credit Risk Officer

Our client, a European bank based in Luxembourg is looking for its future Credit Risk Officer . This will be a temporary contract of 2 months . Please note that this assignment may be extended , in accordance with Luxembourgish law , for a maximum duration of 1 year .

To include yourself in this recruitment process; to find out more information about this role; or to discuss other career opportunities we have available, please contact Muriel Mercier as soon as possible - CONFIDENTIALITY ASSURED .

Ready For Next.

Your responsabilites :

• Contribute to the design, improvement, and maintenance of credit portfolio models and related calculation tools.
• Support both the technical development and methodological aspects of modelling frameworks.
• Help ensure consistency and robustness across risk measurement approaches.
• Perform portfolio risk analysis using statistical and quantitative methods.
• Develop and implement statistical, predictive, and Monte Carlo-based models.
• Conduct stress testing, scenario analysis, and sensitivity analysis to assess portfolio resilience.
• Independently retrieve and analyse data from internal systems (structured and unstructured sources).
• Clean, transform, and structure datasets for modelling purposes.
• Translate Excel-based processes into Python or other analytical languages.
• Support automation and optimisation of risk calculations within production systems.
• Prepare and maintain clear documentation on methodologies, assumptions, and modelling processes.
• Ensure transparency, reproducibility, and compliance with internal governance standards.
• Work closely with modelling teams, IT specialists, and other stakeholders.
• Present complex quantitative results in a clear and understandable way to both technical and non-technical audiences.

Your profile :

• Degree in Mathematics, Finance, Economics, or another quantitative field.
• A postgraduate qualification or relevant professional certification is considered an asset.
• At least 3 years of professional experience in credit risk modelling, portfolio analytics, or a similar quantitative role within banking or financial services.
• Exposure to structured credit portfolios is a plus.
• Strong understanding of credit risk measurement methodologies.
• Advanced data handling skills, including data extraction, querying, and transformation.
• Proficiency in Python and SQL (or similar programming languages).
• Strong command of Excel and other MS Office tools.
• Knowledge of reporting tools (e.g., Business Objects) is advantageous.
• Strong analytical and problem-solving abilities.
• Ability to communicate complex quantitative topics clearly.
• Comfortable working in cross-functional teams within a structured organisation.