Our client is a famous European institution located in Kirchberg in Luxembourg. They are looking for a Credit risk officer M/F for a temporary assignement of 2 months (with the possibility to extend the assignment until 12 months).
The (Associate) Risk Management Officer - Credit Risk Quantitative Analyst supports the development, implementation and maintenance of the bank's credit portfolio models, including structured credit portfolios.
Key accountabilities :
* Support the development, enhancement, and maintenance of the Unit's credit portfolio and structured credit portfolio models and calculation engines, contributing both to technical implementation and methodological refinement.
* Independently extract, query, clean, transform, and structure data from IT systems; perform data analysis, interpret results, and draw meaningful quantitative conclusions.
* Contribute to the design, development and implementation of statistical, predictive, and Monte Carlo-based models.
* Perform portfolio and risk analyses using quantitative techniques to support decision‑making and risk measurement.
* Convert Excel‑based calculations into Python or other analytical languages, and support the automation, optimisation, and integration of these processes into production systems.
* Execute and analyse scenario‑based assessments, including stress tests and sensitivity analyses using credit portfolio calculation engines.
* Contribute to ensuring methodological and data consistency across different risk calculations, contributing to a coherent and holistic risk‑measurement architecture.
* Prepare, maintain, and improve documentation covering methodologies, model assumptions, processes, and analytical procedures to ensure transparency, reproducibility, and governance compliance.
* Collaborate effectively with modelling teams, IT, and other teams across the Group. Communicate quantitative findings clearly to technical and non‑technical audiences.
Reqyuired background :
* University degree in Mathematics, Finance, Economics or other related quantitative discipline. Post-graduate studies in one of these subjects or other relevant professional qualifications would be an advantage.
* Minimum 3 years' relevant professional experience, ideally gained in credit risk modelling, portfolio modelling, credit risk analytics, or in a similar role within banking, finance.
* Sound knowledge of structured credit portfolios would be an advantage.
* Strong analytical thinking, problem‑solving, and ability to communicate quantitative findings clearly to technical and non‑technical audiences.
* Familiarity with the credit risk measurement methodologies and tools.
* Solid level of data literacy with the ability to independently access, extract, query, combine, prepare and analyse data from IT infrastructure platforms across structured and unstructured formats.
* Proficiency in analytical languages and tools such as Python and SQL or other programming languages. Familiarity with Business Objects would be an advantage. Proficient knowledge of MS tools, Excel, Outlook, Word.
* Collaboration skills, working effectively with modelling teams, IT, and other teams across the EIB Group.