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Salary
$50k – $67k per year
Location
Hybrid (France)
Employment
Freelance

First seen by Alion on Sep 10, 2026.

Overview
Company
Impact
Profile match
Sijo is an IT consulting firm where intelligence and collective strength shape the future. It places data engineers, DevOps and AI specialists, quantitative C++ developers and PMOs on client projects such as data pipelines on Databricks and regulatory reporting. The company is headquartered in Paris, France.
  • Concevoir et développer des librairies quantitatives et des composants de pricing en C++ ;

  • Implémenter et industrialiser des modèles quantitatifs développés avec les équipes de recherche ;

  • Optimiser les performances, la latence et la robustesse des applications existantes ;

  • Participer au développement des outils de valorisation, de calcul de risques et de trading ;

  • Intégrer les composants quantitatifs au sein des plateformes Front Office ;

  • Assurer la qualité du code à travers les tests unitaires, revues de code et bonnes pratiques de développement ;

  • Analyser et résoudre les problématiques techniques et quantitatives en environnement de production ;

  • Collaborer quotidiennement avec les Quants, Traders, Risk Managers et autres équipes technologiques.

Profil recherché

Diplômé(e) d’une école d’ingénieurs, d’une université ou d’une formation équivalente en informatique, mathématiques appliquées, finance quantitative ou ingénierie, vous disposez d’une solide expérience en développement logiciel dans un environnement exigeant.

Vous maîtrisez notamment :

  • C++ moderne : C++14/17/20 ;

  • Les principes de programmation orientée objet, algorithmique et structures de données ;

  • Les problématiques de performance, multithreading et optimisation ;

  • Les environnements Linux/Unix ;

  • Git et les pratiques de développement logiciel industriel.

Une expérience ou de bonnes connaissances dans les domaines suivants constitue un réel avantage :

  • Finance de marché et produits dérivés ;

  • Modèles de pricing et méthodes numériques ;

  • Calcul stochastique, probabilités et statistiques ;

  • Python ;

  • Bibliothèques quantitatives et scientifiques ;

  • Architecture low latency / high performance computing ;

  • Front Office, trading électronique ou systèmes de risques.

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