Data-Driven Internal Auditor & Analytics Specialist

BNP Paribas Fortis

Brussel

Sur place

EUR 65 000 - 90 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Meal vouchers
Insurance
Bank holidays
Flexible salary options

Résumé du poste

BNP Paribas Fortis in Brussels is seeking an Internal Auditor - Data Analyst to join the IG Hub, with a focus on data mining, analytics and governance. You will contribute to credit model reviews by transforming data from data warehouses and operational systems into actionable insights.

The role combines hands-on data work with developing solutions using Power Platform, SAS and Python, ensuring data is fit for purpose for audit testing in a fast-paced, team-driven environment.

Qualifications

  • Strong analytical mindset and data analytics background.
  • Exposure to model development, model validation or audit-related work is a plus.
  • Hands-on data tools experience enabling analysis on datasets used in model reviews.

Responsabilités

  • Analyze and document business processes using data from related models; contribute to continuous improvement.
  • Support audit teams by translating objectives into data requirements and extracting data from warehouses and systems.
  • Provide meaningful data insights via advanced mining and analytics; ensure data fit for audit and deep-dive reviews.
  • Develop, enhance and maintain solutions using Power Platform, SAS and Python to support audit analytics.

Connaissances

Analytical mindset
Data analytics
Autonomy
Prioritization
Team player

Formation

Master's degree

Outils

Power BI
Power Apps
Power Automate
SAS
Python

Description du poste

BNP Paribas Fortis in Brussels is seeking an Internal Auditor - Data Analyst to join the IG Hub, with a focus on data mining, analytics and governance. You will contribute to credit model reviews by transforming data from data warehouses and operational systems into actionable insights.

The role combines hands-on data work with developing solutions using Power Platform, SAS and Python, ensuring data is fit for purpose for audit testing in a fast-paced, team-driven environment.

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