Tech Riders

QA Engineer

• Définition et déclinaison de la stratégie de test globale du programme
• Coordination des activités de test sur plusieurs streams et équipes
• Rôle de pivot entre les équipes métiers, IT et QA
• Pilotage des campagnes de tests (SIT, UAT, non-régression, end-to-end)
• Supervision du suivi des anomalies
• Mise en place des indicateurs de qualité et production du reporting
• Identification des risques qualité et proposition de plans de remédiation
• Accompagnement des équipes dans la mise en place des bonnes pratiques QA et l’amélioration continue

Lead Test/QA Lead Senior

Backend Engineer

• Design and develop Java/Spring Boot microservices that integrate AI models
• Take part in integrating AI modules into existing banking systems
• Collaborate with Data Scientists and ML Engineers to deploy models to production
• Optimize processing performance, resilience, and scalability
• Contribute to CI/CD best practices and code quality (unit tests, code reviews, documentation)

Java AI Developer – Banking

Full-stack Engineer

• Act as the technical lead and point of contact for project and IT teams
• Work across the entire AI project lifecycle: ideation, experimentation, scaling, and industrialization
• Define and promote technical standards and AI best practices
• Provide AI technical expertise and challenge architectural and modeling decisions
• Select and oversee the use of LLMs
• Ensure AI models meet performance, compliance, and security requirements
• Support cross-functional teams in adopting AI development best practices
• Propose and oversee the implementation of technical and methodological improvements

AI Tech Lead

Business Analyst

• Recueillir, analyser et challenger les besoins des équipes métiers (Finance, Risques, Conformité)
• Rédiger des user stories claires, structurées et actionnables
• Garantir la qualité du backlog
• Animer les ateliers de cadrage, de conception et de clarification des besoins
• Animer et piloter les réunions projet
• Participer à la définition et à l’évolution des chaînes de production du reporting réglementaire
• Contribuer à la recette fonctionnelle
• Assurer un reporting projet clair, structuré et orienté décision

Business Analyst, Reporting Réglementaire

Engineer

• Design, develop and maintain data pipelines on the GCP platform
• Define and implement data pipelines (DAGs, CI/CD, PySpark)
• Contribute to BI modeling and the industrialization of data processing
• Develop and administer reporting solutions using Power BI
• Work on the Microsoft BI suite for integration and analysis needs
• Collaborate with Data, Business and IT teams to ensure data consistency and reliability

Data Engineer, Microsoft BI, GCP

• Gather, analyze and challenge requirements from business teams (Finance, Risk, Compliance)
• Write clear, structured and actionable user stories, including business rules, acceptance criteria and edge cases
• Ensure backlog quality (prioritization, functional consistency, regulatory traceability)
• Facilitate scoping, design and clarification workshops
• Lead and manage project meetings (business workshops, steering committees, progress updates), ensuring smooth and effective communication between stakeholders
• Participate in defining and evolving the regulatory reporting production chains (data sources, controls, calculation rules)
• Contribute to functional testing: prepare scenarios, execute tests, and track and qualify defects
• Provide clear, structured and decision-oriented project reporting to stakeholders

Business Analyst – Regulatory Reporting

• Design, develop and maintain data pipelines on the GCP platform (BigQuery, Dataflow, Airflow, Cloud Storage, IAM)
• Define and implement data pipelines (DAGs, CI/CD, PySpark)
• Contribute to BI modeling and to operationalizing data processing
• Develop and administer reporting solutions using Power BI (Desktop and Service)
• Work on the Microsoft BI stack (SQL Server, SSIS, SSAS) for integration and analysis needs
• Collaborate with Data, Business and IT teams

Microsoft BI, GCP Data Engineer

Product Manager

• Own the product vision for the RCSA Compliance application and drive its roadmap
• Collect, analyze and prioritize requirements from business teams (Compliance / Operational Risk)
• Translate business needs into a clear, prioritized product backlog
• Lead and coordinate a team of Business Analysts
• Challenge functional solutions in line with RCSA objectives
• Collaborate closely with IT teams
• Take part in project governance meetings and provide structured reporting
• Contribute to functional testing phases and ensure safe production deployments
• Operate in an international context

Product Owner, Banking

• Act as the technical lead and point of contact for project and IT teams
• Work across the AI project lifecycle: ideation, experimentation/prototyping, and production/industrialization
• Define and promote AI technical standards and best practices
• Provide AI technical expertise and challenge architectural decisions
• Select and oversee the use of LLMs
• Ensure scalability, robustness, and interoperability of AI models
• Contribute to defining environmental key performance indicators (KPIs)
• Propose and supervise the implementation of technical and methodological improvements