Senior Quantitative Risk Analyst – CCP (LOD2) | Hybrid Rome

Euronext

Turbigo

Ibrido

EUR 45.000 - 50.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Euronext is seeking a Senior Quantitative Risk Analyst to join the Clearing Risk team in a hybrid role based in Rome. The position focuses on independent model challenge, EMIR regulatory testing, and controls across risk frameworks.

Key responsibilities include performing challenges on margin models, executing EMIR tests, and designing quantitative controls. Candidates should have a quantitative degree and strong skills in financial risk analysis, with Python programming preferred.

This role offers high visibility and interaction with senior stakeholders.

Competenze

  • Strong understanding of financial risk concepts.
  • Solid analytical mindset with the ability to question models.
  • Good programming skills, preferably in Python.

Mansioni

  • Perform independent challenge of Initial Margin and Default Fund.
  • Execute and enhance EMIR-mandated tests.
  • Design and perform quantitative controls.

Conoscenze

Strong understanding of financial risk concepts
Solid analytical mindset
Good programming skills (Python preferred)
Ability to work independently

Formazione

Degree in Mathematics, Physics, Engineering, Quantitative Finance or similar

Descrizione del lavoro

Euronext is seeking a Senior Quantitative Risk Analyst to join the Clearing Risk team in a hybrid role based in Rome. The position focuses on independent model challenge, EMIR regulatory testing, and controls across risk frameworks.

Key responsibilities include performing challenges on margin models, executing EMIR tests, and designing quantitative controls. Candidates should have a quantitative degree and strong skills in financial risk analysis, with Python programming preferred.

This role offers high visibility and interaction with senior stakeholders.

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