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.

LHH Recruitment Solutions offers extensive HR solutions through one unique brand. We are specialised in the employment of middle and top management and highly qualified professionals in contracting temporary and permanent placement. At LHH Recruitment Solutions, we believe in talent, not labels, and embrace diversity and promote more inclusive employment to our clients and partners.

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.

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.

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