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Open nowPosted 4 days ago

Tech Lead C# PricingServices

GEC79 open roles

Where
Hauts-de-Seine, Île-de-France, France, Remote
Work mode
Remote
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Your applicationOpen nowTech Lead C# PricingServicesGEC · Hauts-de-Seine, Île-de-France, France, Remote

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. GEC postings stay open a median of 8 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 4 days ago

GEC median: 8 days open

The posting

Description et livrables de la prestation Une refonte complète de la plateforme QIS IT (Quantitative Index Strategies) est engagée couvrant deux axes : Plateforme Live : calcul et publication d'indices custom en temps réel, interface web Angular, architecture microservices, engine de calcul développé par les Quants Plateforme Backtesting : simulation historique de stratégies quantitatives sur données haute fréquence (tick, TWAP, VWAP, etc) hébergées sur une infrastructure entièrement cloud. Le consultant interviendra au sein d'une organisation agile (sprints de 3 semaines), en collaboration étroite avec les équipes FO / Structuration & Quant et Infrastructure. Dans ce cadre, le consultant interviendra sur plusieurs sujets tels que : Missions principales : 1) Pilotage de projet & management d'équipe Piloter la roadmap technique et fonctionnelle de la refonte en lien avec les parties prenantes (FO, Structuration, Quants, Product Owners,) Animer et coordonner l'équipe de développement (cérémonies agiles, priorisation du backlog, suivi d'avancement) Gérer les risques, les dépendances et les arbitrages techniques Assurer le reporting auprès du management et la communication transverse. 2) Développement & intégration de la Calculation Engine Superviser et contribuer à l'intégration de la calculation engine développée par les Quants (indices custom, règles de sélection, pondération, rebalancement, corporate actions) Piloter la refonte du front-end React et l'exposition des services via API REST / OpenAPI Assurer l'intégration des modules dans l'écosystème applicatif existant (Lien avec le système de booking, risk systems, portails clients, réconciliation avec les providers externes, etc) Garantir la documentation des flux, dépendances et interfaces 3) Plateforme de Backtesting sur le cloud Piloter le développement de la plateforme de backtesting de stratégies quantitatives, reposant sur une infrastructure entièrement cloud AWS : Stockage des séries historiques tick, TWAP, VWAP sur S3 ( Selon les sources disponibles) Traitement distribué via EMR/Spark ou Lambda selon les granularités de données Accès et requêtage optimisés via Athena ou Redshift Superviser l'implémentation du moteur de simulation Assurer le versioning des stratégies, la traçabilité. 4) Architecture & modernisation Décomposer les applications monolithiques en microservices autonomes Piloter l'APIsation des services : API REST, documentation Swagger/OpenAPI, gestion des versions, sécurité OAuth2/JWT Piloter la migration progressive vers AWS (EKS, S3, RDS/Aurora, MSK) avec une approche Infrastructure as Code (Terraform) Garantir la robustesse : gestion d'erreurs et résilience, observabilité (logging structuré, tracing distribué), tests automatisés intégrés en CI/CD Expertise souhaitée Tech Lead C# PricingServices Cette mission nécessite : Une expérience significative en C#. Une bonne compréhension des problématiques liées au multithreading Connaissance des middlewares de calcul Connaissance des solutions de cache distribué ( Redis, Couchbase, etc) D'être familier avec les architectures micro services / API ( Rest / gRPC), les bonnes pratiques Devops et les outils de monitoring ( CI/CD, ELK, APM) Profil recherché : Expérience : 8 ans+ en développement logiciel, dont 3 ans+ en pilotage de projet/équipe en environnement financier simulaire Technique : C # / Python (microservices), React, AWS (S3, EMR, Athena, Redshift, EKS, MSK), Kafka, Redis, Docker/Kubernetes, Terraform, CI/CD Fonctionnel : Connaissance des indices quantitatifs / QIS (règles de construction, rebalancement, corporate actions) Maîtrise des données de marché haute fréquence (tick, TWAP, VWAP) et des architectures AWS data lake pour le stockage et le traitement de larges historiques financiers Expérience avec les sources de données de marché : TRTH/LSEG, AlgoSeek, Bloomberg ou équivalent Compréhension des enjeux de backtesting Mobilité Non renseigné

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