
Business Analyst Expert in Credit Risk (Ref: 346)
- On-site
- LUXEMBOURG VILLE, Luxembourg, Luxembourg
Business Analyst expert in credit risk for banking regulatory projects: requirements expression, specs, tests, management, and change within an international feature team.
Job description
đŁ Business Analyst Expert in Credit Risk â Banking Sector (M/F)
Would you like to join a leading international organization in the banking sector and contribute to the transformation of a strategic area? Our client is looking for a Business Analyst Expert in Credit Risk to strengthen its team within the IT department.
đŻ Your role
You will play a key role in modernizing the application framework dedicated to credit risk. As a true MOA reference, you will be involved in regulatory, evolution, and optimization projects, ensuring the quality of requirements expression, functional coherence, and project lifecycle management.
đ Your missions
Lead several strategic projects related to credit risk
Collect, formalize, and clarify business needs
Define robust and suitable functional solutions
Write complete functional specifications
Support development teams, including offshore teams
Define the test strategy, write test cases, and monitor their execution
Produce project documentation and change management deliverables
Contribute to updating management tools
đ§© Expected deliverables
Requirements expression
Solution design
Functional specifications
Test strategy and associated reports
Project documentation & change management
Updated management tools
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Job requirements
đ ïž Skills & expertise required
Confirmed expertise in Credit Risk
Strong experience in MOA / Business Analysis on regulatory projects
Mastery of Agile / Scrum practices
Use of JIRA & MS SharePoint
Skills in PL/SQL (reading, understanding, analysis)
Excellent communication, rigor, and management skills
đ Why join this mission?
International banking environment
Projects with strong regulatory and strategic impact
Collaboration with expert and dynamic teams
Stimulating, evolving, and highly structured context
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