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Intern in quantitative risk analysis in the field…

CSSF · Luxembourg · Internship

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Employer
Commission de Surveillance du Secteur Financier
Division
UCI – Authorisation and supervision of investment fund managers and securitisation undertakings
Location
Luxembourg
Contract
Internship
Level
intern
Reference
OPC-PRUD-RISK-MACRO-STAGE-02

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The posting

As published by the Commission de Surveillance du Secteur Financier. Source: careers.cssf.lu. Reproduced for reference. The regulator’s portal is authoritative and the only place to apply.

Intern in quantitative risk analysis in the field of investment funds (m/f)

Mission

You will join the team responsible for the quantitative risk analysis of the investment fund sector. Our goal is to introduce you to the roles within prudential supervision of investment funds, with a focus on quantitative data analysis, and to provide you with a broader introduction to control-related professions. We aim to facilitate your integration into a professional environment. You will be supported by a dedicated professional tutor who will guide and advise you throughout your internship.

Role & responsibilities

  • You will conduct research projects involving risk analyses specific to the investment fund sector. These projects may include:
    • a literature review
    • the creation of a database using reporting data provided by funds and/or fund managers, as well as external data
    • statistical, econometric, or artificial intelligence-based analysis
  • Working within a dynamic team, you will collaborate with risk analysis experts to enrich your work
  • You will prepare a summary document that may, if appropriate, lead to internal and/or external publication

Your profile

  • Student in final year of university studies, pursuing a Master’s degree (Master 2) in economics, finance, or mathematics
  • A strong interest in finance, financial risk management, and quantitative/statistical/econometric/big data approaches
  • Excellent written and spoken French and English. Knowledge of Luxembourgish and/or German is an asset
  • Proficiency in Word, Excel, and PowerPoint
  • Proficiency in R and/or Python programming languages is an advantage
  • Strong analytical, summarization, and communication skills
  • Critical thinking, rigor, and organizational skills
  • Ability to work independently and as part of a team

Apply now

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