End-of-studies Internship
il y a 3 semaines
Murex is a global fintech leader in trading, risk management and processing solutions for capital markets.
Operating from our 19 offices, 3 000 Murexians from over 60 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world.
Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment.
You’ll be part of one global team where you can learn fast and stay true to yourself.
- L’équipe
Au sein de la division produit de Murex, l’équipe de consultants PES Trading Equity (Product Evolution & Services) centralise l’expertise sur le module de trading et de valorisation des produits dérivés action. Elle a pour missions de supporter, faire évoluer et standardiser la solution logicielle proposée à ses clients. En particulier:
L’équipe s’occupe du Product management des outils de pricing, de gestion de position et de simulation des risques, de recalcul rapide du P&L (Profit and Loss) et d’explication du P&L suite aux mouvements du marché.-
- Elle enrichit et améliore le catalogue de produits financiers disponibles pour les clients, ainsi que leurs modèles d’évaluation, pour suivre les besoins du marché.Vos missions
Après une phase de formation sur la plateforme MX.3 et une familiarisation avec le pricing et les modèles proposés dans MX.3, vous serez amené à travailler sur un modèle Stochastic Local Volatility (SLV) combinant une volatilité locale et une volatilité stochastique.
Un tel modèle est disponible pour les dérivés de change et depuis peu pour les dérivés action.
On s’interroge maintenant quant à la capacité de ce modèle à évaluer correctement des produits dits de volatilités (ex : variance swap, option sur variance).
En détail:
- Se documenter sur le fonctionnement du modèle SLV à étudier.-
- Proposer une méthodologie pour permettant d’être en ligne avec le prix de marché des variance swaps.-
- Mettre en place des tests de pricing, au moyen d’un Jupyter notebook qui sera connecté au service de pricing des modèles ainsi qu’au service de market data.-
- Statuer sur la capacité du modèle à évaluer de manière cohérente les options cliquets et les produits de volatilité.-
- Proposer des conclusions et formuler des idées d’amélioration de la modélisation.Votre profilEtudiant(e) en 3ème année d’école d’ingénieurs, ou troisième cycle universitaire, en recherche d’un stage de fin d’études d’une durée de 6 mois-
- Spécialisation en finance de marché-
- Bon niveau en mathématiques requis (algèbre linéaire, calcul stochastique)-
- Bon niveau en programmation Python (numpy, pandas, Jupyter notebooks)-
- Capacité d’apprentissage rapide-
- Sens aigu de l’analyse et problem-solving, aisance dans les problématiques mathématiques-
- Rigueur, précision-
- Esprit d’équipe et collaboratif (environnement agile)-
- Force de proposition et d’initiative-
- Appétit pour le product management-
- Anglais courant- Début et durée du stage
- Entre janvier et mai 2025, durant 6 mois.
Pourquoi nous rejoindre ?- Faire partie d’une communauté d’experts motivés par le challenge, l’innovation, et contribuer ainsi à l’amélioration continue de la plateforme MX.3.-
- Bénéficier d’une formation de qualité à l’entrée et pendant toute sa carrière professionnelle.-
- Evoluer dans un environnement Agile (méthodologie SAFE), international, multiculturel (une trentaine de nationalités à Paris) et en croissance continue.
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