About this role
As a Credit Risk Data & Reporting Analyst, you will be responsible for setting up a structured Collateral and Loan-to-Value (LTV) reporting framework. You will define monitoring metrics, establish data requirements and data quality thresholds, and translate reporting requirements into standardized, repeatable management reports for stakeholders and governance committees.
The job
You will work closely with the relevant grids and data stakeholders to ensure that data is complete, accurate, and fit for quarterly reporting. In addition, you will take ownership of the reporting governance, including documenting business definitions, defining data quality requirements, and implementing data quality controls in line with BCBS239 principles.
Expected deliverables:
Design and deliver a standardized Collateral & LTV reporting framework.
Deliver a recurring Collateral & LTV management report for quarterly reporting.
Document business definitions, reporting logic, and data lineage.
Define and document data quality requirements, controls, and validation checks.
Ensure reporting governance complies with BCBS239 standards.
PRAAT MET EEN RECRUITER
Your skills
Experience with Power BI.
Experience with Databricks.
Experience in defining and documenting business and reporting requirements.
Strong project planning and organizational skills.
Excellent stakeholder management and communication skills.
Experience within Credit Risk, Risk Reporting, Data Management, or Data Governance.
Knowledge of BCBS239 principles.
Our offer
Hourly rate: €86,75 - €106,50
#LI-LV2
PRAAT MET EEN RECRUITER
.gallerySwiper .swiper-slide { height: auto; max-width: 100%; width: auto; } .gallerySwiper .swiper-slide img { object-fit: cover; height: 100%; }