Stage Business Solution Engineer : Big Data, Finance & ESG (Python)

Opensee Sas; Puteaux; Sur place; EUR 11 160 - 17 856; Plein temps

Résumé du poste

Opensee SAS recherche un Stage Business Solution Engineer : Big Data, Finance & ESG (Python) à Puteaux, Paris La Défense pour une durée de 6 mois minimum.

Intégré au sein de l’équipe Solution et sous la supervision d’un Business Solution Lead, vous travaillerez sur des démonstrations, le design d’un nouveau use case et l’intégration d’analyses avancées en Python, avec un focus ALM, financement, liquidité et ESG.

Qualifications

• Étudiant en Master en dernière année dans une grande école ou université.
• Fort esprit analytique et excellente capacité numérique.
• Maîtrise du Python et connaissance pratique du SQL.
• Intérêt sincère pour la Finance et la Technologie et curiosité pour l’analytics.

Responsabilités

• Maîtrise de la plateforme Opensee et apprentissage de l’architecture système.
• Conception et livraison d’un nouveau use case analytique: données, modèles, UI.
• Préparation des démonstrations et support des présentations client.

Connaissances

Python avancé

Analyse numérique

Communication FR/EN

Formation

Master 5e année (grande école/université)

Outils

SQL

Description du poste

# Stage Business Solution Engineer : Big Data, Finance & ESG (Python)* Puteaux, 92800* Stage* 01/09/2026- 28/02/2027## Description# **About Opensee**Opensee is an AI-powered data solution for financial institutions, providing interactive data quality, aggregation, analytics, and reporting. Our platform enables banks, hedge funds, and asset managers to interactively explore and analyze massive datasets swiftly and precisely. With Agensee, our Agentic AI solution, users can engage with their data in real time using natural language, whether within the Opensee platform or as a standalone AI layer on their existing infrastructure. By unlocking instant insights, automation, and scalable analytics, Opensee transforms decision-making and operational efficiency for the financial industry.Headquartered in Paris, with offices in London, Frankfurt, New York, and Singapore, we are proud to work with a trusted client base across banks, hedge funds, and asset managers. Learn more at opensee.io.# **About us*** **A culture of collaboration** : At Opensee, you’ll work in an open and supportive team.* **Team spirit and innovation**: Work in a diverse environment where innovation and creativity are highly valued.* **A growth-oriented environment**: Benefit from a wealth of development opportunities as we constantly seek new talents to join us, and support our growth. Develop expertise in one of the most advanced solutions for risk aggregations.## MissionsYou will be embedded within the Solution team, reporting to a Business Solution Lead. The team acts as a strategic bridge between Opensee's technology capabilities and the business priorities of our clients and prospects. Its core activities include:* **Pre-sales enablement**: crafting compelling use-case demonstrations, building proof-of-concepts, preparing product presentations, and conducting gap analyses for prospective clients* **Product shaping**: contributing to the roadmap for new use cases and features, from data modelling and financial metric design to user interface configurationAs a Business Solution Engineer Intern, your responsibilities will span the following areas:* **Platform Mastery** : Develop a thorough understanding of the Opensee platform: system architecture, deployment model, data ingestion pipelines, data modelling principles, and Python-based calculation engines.* **Business Deep-Dive** : Build solid knowledge of banking book risk topics, with a primary focus on **ALM & Treasury, Liquidity Risk, Credit Risk, and ESG-related risk dimensions**. Understand the associated regulatory landscape, business pain points, and how data-driven analytics can address them.* **Use-Case Design & Implementation** : Take ownership of designing and delivering a new analytical use case end-to-end: data specification, data model creation, synthetic data generation, metric implementation, performance optimization, UI configuration, and development of advanced Python calculators or models.* **Product Feedback Loop** : Channel insights from your work and from client interactions back to the product team, helping shape feature priorities and inform the development roadmap.* **Presentation & Communication** : Actively contribute to internal and external presentations of your use case. Prepare and maintain the associated documentation and demo materials to a high standard.# **Skills You Will Develop*** **Technology** : Big Data ecosystems, SQL, Python (advanced), software delivery practices* **Finance** : ALM & Treasury analytics, Liquidity and Credit Risk metrics (Banking Book), ESG risk integration, Balance Sheet Management* **Project Leadership** : End-to-end demo preparation, cross-team coordination, roadmap management, stakeholder communication## Profil**Mandatory*** Final-year Master's student in Mathematics, Computer Science, Engineering, or Finance from a leading Grande École or university* Strong analytical mindset with excellent numerical and problem-solving abilities* Proficiency in **Python** and working knowledge of SQL* Genuine interest in **Finance and Technology**, curiosity about how data and analytics reshape banking is essential* Excellent communication skills in **French and English**, both written and spoken* A collaborative and outgoing personality, you enjoy telling a story, engaging with diverse stakeholders, and are comfortable presenting to both internal teams and external clients**A Plus*** Prior exposure (internship, academic project, or personal initiative) to a financial institution, fintech, or data/software vendor* Familiarity with banking book risk concepts (ALM, liquidity, credit) or ESG frameworks# **Practical Details*** **Location**: Paris, La Défense* **Contract**: End-of-studies internship (a valid French “*convention de stage”* is mandatory)* **Duration**: 6 months minimum# **How to Apply**Send us your CV along with a few lines explaining what draws you to Opensee and this role. We'll get back to you promptly!