Senior Business Analyst
Senior Business Analyst Finance & Risk Data voor een grote Nederlandse bank, hybride Amsterdam, BCBS239 credit risk programma.
- Locatie
- Amsterdam
- Werkvorm
- hybride
- Sluitingsdatum
Eisen
- Knowledge of BCBS239 and credit risk data processes
- HBO/WO degree in data management, finance, econometrics, computer science or a related field
- Strong understanding of data modelling, data quality, acceptance testing and release management
- Senior experience as a Business Analyst, Product Owner or data product lead in Finance & Risk data at a bank
Volledige omschrijving
A major Dutch bank is looking for a senior Business Analyst to support its Common Data teams in delivering a time-critical BCBS239 credit risk data roadmap. You will cover 16 credit risk use cases, Definition of Default delivery and the onboarding of newly acquired entities into the bank’s Finance & Risk data platform. You will work across Finance, Risk, IT and data teams. This is a hands-on, result-oriented assignment where you bridge business requirements, data modelling and delivery.
You will own a prioritised backlog, run monthly data model releases and coordinate testing across multiple teams. The assignment is based in the Amsterdam area with a hybrid setup.
You will: Translate functional and technical requirements into epics, user stories and acceptance criteria for credit risk data products, including Collateral and Definition of Default; Align data delivery models with the business logical data model and coordinate monthly releases; Coordinate end-to-end testing, defect resolution and entity onboarding in line with BCBS239 and the Data Management Framework; Investigate and resolve data discrepancies during Basel validation.
About you: Senior experience as a Business Analyst, Product Owner or data product lead in Finance & Risk data at a bank; Knowledge of BCBS239 and credit risk data processes; Strong understanding of data modelling, data quality, acceptance testing and release management; HBO/WO degree in data management, finance, econometrics, computer science or a related field.
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