The Securities Services business of BNP Paribas is one of Europe's leading providers of custody services for securities.

The Luxembourg branch plays a major part in its operations, offering clients high value-added services extending from custody to securities lending, fund administration, performance measurement and ratings, and bond issuance services.

We are currently looking for a:

 Internship: Data and process mining Analyst (M/F)

3 months starting (ideally) in April 2025

 You must provide an internship agreement covering the entire period of the internship

Your mission: 

Working within the Business Solutions Unit team (Luxembourg), you will be part of a team supporting various assignments related to transformation within the bank. As part of an international, cross-location team, you will be contributing to projects supporting the strategic business development of the organization. You will be part of a team who contributes to detect/identify opportunities, to solve operational problems with digital solutions.

Responsibilities within a daily framework:

• Review / Understand functional needs with the team
• Development follow-up
• Data extraction
• Data validation
• Data obfuscation
• Follow up of request to setup flow setup to transfer data
• Follow-up with internal process mining team
• Opportunity to work with Celonis Suite
• Set-up & preparation of support material for workshops, cross-location calls or (team) meetings 
• Drafting of meeting minutes & follow-ups (when required)
• Any other (punctual) support to the preparation of meetings
• Understand the ingestion, modeling and integration of data from multiple sources into process mining tool

Profile requested:

Education:

• Ideally University degree in Data Sciences or IT (ongoing).

Behavioural Skills:

• Result-driven, proactive, focused attitude and approach
• Autonom & proactive, alongside team player ability

Tranversal Skills:

• Appetite for research; Analytical and synthesis skills. 

Language Skills: 

• Good communication and writing skills (FR and EN: good command in written & spoken)

Technical Skills: 

• Data-driven and proficient in SQL 
• VBA
• Basic knowledge in data visualization/BI tools / Python