Analyste Quantitatif Python H/F

Crédit Agricole CIB • French: C1 • Commercial & Retail Banks • Investment Banking & M&A Advisory • Python • 6 hours ago
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Salary
≈ $47k – $84k per year (Estimated)
Location
In office (Montrouge)
Employment
Internship

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 10, 2026.

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Crédit Agricole CIB

Credit Agricole Corporate and Investment Bank (Credit Agricole CIB) is the corporate and investment banking arm of the French Credit Agricole group, headquartered in Montrouge near Paris. It provides financing, capital markets, structured finance, investment banking and transaction banking services to corporations and financial institutions, with offices across Europe, the Americas, Asia Pacific and the Middle East, including New York, Frankfurt, Milan, Madrid, Singapore, Tokyo, Seoul, Taipei and Mumbai. It recruits structured finance and leveraged finance bankers, market risk analysts, derivatives operations staff, data scientists, AI engineers, application support engineers and trainees.
ca-cib.com • HQ: Montrouge, France • Commercial & Retail Banks • Investment Banking & M&A Advisory • 501-1000 employees
Tech stack of Crédit Agricole CIB

Rejoignez Crédit Agricole CIB, la Banque de Financement et d'Investissement du groupe Crédit Agricole. En tant qu'Analyste Quantitatif Python, vous travaillerez au sein du Département des Risques de Marché, plus précisément dans l'équipe Econométrie. Vous serez impliqué dans la conception et la mise en œuvre de modèles pour le calcul des mesures de risque de marché. Votre stage se concentrera sur l'amélioration des approches de détection et de correction d'anomalies dans les séries temporelles historiques, en utilisant des méthodes statistiques et de machine learning.

Missions

  • Participer à la recherche bibliographique sur la détection d'anomalies et la modélisation du Turn.
  • Développer un projet en Python pour la détection d'anomalies, la correction et la définition de proxies.
  • Réaliser un projet en Python et une documentation claire associée pour le sujet.
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