Job Description
Risk Data Analyst
The Merchant Risk Management (MRM) department is part of Worldline’s Second Line Group R2Srisk function, reporting to Head of Group Risk. Its primary responsibility is to oversee the risk management framework governing merchant risk during the merchant lifecycle. The MRM actively contributes to Worldline’s shaping of the company’s Merchant Risk Strategy and Risk Appetite that support a sustainable business growth. The Merchant Risk Management’s mission is to provide leadership and strategic direction in the management of merchant risk across Worldline Group. This must be supported by data driven portfolio analysis, decision making, and portfolio steering, and therefore business intelligence and business analytics must be based on high quality portfolio data.

EXPERIENCE & SKILLS

• Ability to manipulate and analyse large and complex data sets coming from internal and external sources, solid knowledge of BI systems
• Data-driven and outcome-focused; able to tell stories using data
• Proven ability of successful project completion
• Result oriented and diligent, self-starter
• Continuous learner; seeks out knowledge, ideas and feedback
• Ability to accept user feed-back for improving the layout and functionalities of the system
• Ability to accept user feed-back for improving the layout and functionalities of the system
• Effective communicator with both business and technical development team

EDUCATION & EXPERIENCE

• Master / Bachelor of Sciences in a quantitative field (Statistics, Data Science, Quantitative marketing, Econometrics, Quantitative finance or similar)
• Excellent knowledge of different Azure services and PowerBI
• Good understanding of relational model for database management and data modelling principles (conceptual/logical data models)
• Good knowledge of data manipulation and analysis using SQL BI systems or python.
• Good knowledge of either R, Python, SAS or similar statistical software
• Knowledge of either JavaScript is a plus
• Good command of English
• Work experience in the payment services or banking industry, preferably within credit risk
  Information at a Glance
  Request ID: 297724
  Posting Start Date: 1/17/25
  Job Area: Business Enablement
  Work Site: Hybrid
  Contract Type: Permanent
  Brand: Worldline
  Job Location: Belgium - Brussels, France - Puteaux, Netherlands - Hoofddorp, Poland - Warsaw, Romania - Bucharest, Sweden - Stockholm

THE ROLE

Under the responsibility of the Group Head of Merchant Risk, the Risk Data Analyst is responsible to contribute to the design and oversee the establishment of the risk reporting tool used for merchant portfolio reporting and steering. This individual works closely with the Risk Operations Data Science team, as well as with Worldline’s BI team on development and maintenance of the risk data tool. Together, the primary responsibilities are to oversee the risk resulting from the payment transactions of Worldline’s merchants and to provide user-friendly tools reflecting accurate portfolio data. The team strives to turn large amounts of data generated by payment transactions into unique insights, dashboards and KRIs.
At the moment, the team is building out its risk analytics and reporting capabilities using the existing Azure Data Lake, hence the database development and engineering are key area of focus for the coming years. The aim is to improve oversight and provide business insights through state of the art business intelligence and business analytics.

KEY RESPONSIBILITIES AND DUTIES

• Database development and data engineering: Support and enhance the existing Azure Data Lake to include all risk relevant data (with an initial focus on Credit Risk) and in close collaboration with Worldline’s BI team and Risk Operations team, develop a risk data repository for portfolio oversight and analysis.
• Reporting and Data Sharing: create and develop functional dashboards, reports and data sharing solutions using BI tools for monitoring of risk appetite, KRIs and portfolio evolution. Collaborate with the BI and Risk Operations team and end-users in refining the design of informative dashboards and data sharing systems.
• Business intelligence and business analytics: gather, store and analyse data as well as focus on identifying past and present patterns (business intelligence), as well as further analyse data and predict outcomes and identifying potential future patterns (business analytics).
• Project management: lead a cross-functional data project team to establish the relevant merchant risk insights leveraging on the existing Azure Data Lake and PowerBI solutions that are in place.