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Intern in quantitative risk analysis in the field…
CSSF · Luxembourg · Internship
- 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
Prepare for the interview
Before the interview, read these RegReportingDesk articles to get up to date on prudential supervision. You will walk in with a clear view of what the work involves and of the regulatory developments the panel may raise.
- CSSF SREP 2025 Supervisory Disclosure: The ICARA Bar for Investment Firms (2026-07)
- CSSF Reporting Calendar Q2 2026: Every Deadline Luxembourg Banks and Fund Managers Need This Quarter (2026-04)
- CSSF eRegister by eDesk: Prospectus Interface Joins the Fund Data API (2026-10)
- CSSF Tokenisation FAQ: Control Agents, Fund Registrars and DORA (2026-10)
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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For diplomas obtained outside of Luxembourg, Belgium or The Netherlands, we additionally require proof of their equivalence with national standards. While you may send your application without it, we encourage you to request this straight away in order to avoid delays later on in our recruitment process.
Additional details can be obtained from the Ministère de l’Enseignement Supérieur et de la Recherche for university level degrees, on guichet.public.lu for A-level (BAC) diplomas or equivalent qualifications, or on guichet.public.lu for Vocational skills certificate (CATP), vocational aptitude diploma (DAP), master craftsman’s certificate (brevet de maîtrise).
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