Stagiaire – Analyse des données au sein de la division bancaire « Methodology & Reporting » (m/f)

Commission de Surveillance du Secteur Financier (CSSF); Metz; Sur place; EUR 20 000 - 40 000; Plein temps

Résumé du poste

A financial supervisory authority in the EU is seeking a final year student for a traineeship in banking supervision. The role involves enhancing analytics through projects, developing supervisory tools, and collaborating with the European Central Bank. The ideal candidate should be pursuing a degree in data science or related fields, with strong analytical and communication skills. Proficiency in several programming languages is an advantage.

Qualifications

• Final year university student focusing on data science or finance.
• Proficiency in Word, Excel, and PowerPoint.
• Strong analytical, synthesis, and communication skills.

Responsabilités

• Enhance analytics capabilities through participation in projects.
• Re-develop existing supervisory tools for ongoing supervision.
• Develop new risk quantification tools in collaboration with ECB.

Connaissances

Data analysis

Finance knowledge

Communication skills

Formation

Bachelor or Master 2 degree in data science, business intelligence or statistics/mathematics

Outils

VBA

SQL

R programming

Power BI

Tableau

Description du poste

Mission

The prudential supervision of the banking sector operated by the CSSF aims at contributing to the robustness and stability of the financial sector and requires the implementation of innovative supervisory technics and tools. Especially, it implies the developments of data-driven methodologies to ensure assessments of the banking sector based on huge amount of information (for example coming from supervisory reporting like COREP).

In this context, the “Methodology and Reporting” division in the “Banking Regulation and Implementation” department has three main missions :

• Development and implementation of supervisory methodologies like the Supervisory Review and Evaluation Process (SREP) which allows supervisors to assess the risks banks face and to check that banks are equipped to manage those risks properly.
• Data collection, quality assurance and quantitative analysis of supervisory reporting about banking risks.
• Coordination of initiatives to develop and / or use innovative tools based on new technologies (e.g., artificial intelligence) to improve supervision.

As part of the “Methodology and Reporting” division, you will discover the role and the importance of prudential supervision.

The traineeship period is scheduled to start in March 2025 for a period of ideally 4 to 6 months. A traineeship agreement is required for the entire duration of the internship.

You will be supported by a dedicated professional tutor, who will guide and advise you throughout your placement.

Rôle & responsabilités

• As part of a team specialising in banking supervision, you will actively contribute to the enhancement of analytics capabilities through your participation in several projects such as :
• Re-development of existing supervisory tools used to ensure the ongoing supervision of banks, and the early detection of potential problems based on key risk indicators,
• Development of new risk quantification tools based on qualitative and quantitative data aiming to facilitate the assessment of capital requirements in collaboration with the European Central Bank,
• Implementation of new dashboards assessing the data quality of supervisory reportings via synthetic indicators which will be used for the comparison between banks (benchmarking),
• Based on existing IT databases, construction of robust business datamarts allowing the developments of the abovementioned tools and dashboards.

Votre profil

• Final year university student working towards Bachelor or Master 2 degree with a focus on data science, business intelligence or statistics / mathematics
• Strong interest in finance, financial risk management and quantitative approaches
• Good written and verbal knowledge of French and English. Knowledge of German and Luxembourgish would be an advantage
• Proficiency in Word, Excel and PowerPoint
• Proficiency in VBA, SQL or R programming language and knowledge of Access and Power BI / Tableau tools would be an advantage
• Strong analytical, synthesis, and communication skills
• Critical thinking, attention to detail, and good organisational skills
• Ability to work both independently and as part of a team