Groupe Crédit Agricole

About the Company

Crédit Agricole is the French economy’s leading financier and one of the top banking operators in Europe. As a leader in retail banking in Europe, the Group is also the leading European asset manager, the first bank insurer in Europe, and the third largest European operator in project financing.

On the strength of its cooperative and mutual insurance foundations, its 154,000 employees and 27,000 administrators of local and regional banks, Crédit Agricole Group is a responsible, useful bank, serving 54 million customers, 11.8 million mutual shareholders and 800,000 individual shareholders.

Thanks to its universal retail banking model – the close association between its retail banks and the business lines that are connected to them – Crédit Agricole Group is assisting its customers with their projects in France and around the world in day-to-day banking, housing and consumer loans, savings, insurance, asset management, real estate, leasing, factoring, lending, and investment.

In serving the economy, Crédit Agricole is also distinguished by its dynamic and innovative corporate social responsibility policy. It is based on a pragmatic approach that runs through the entire Group and puts each employee into action.

Listed Jobs

Company Name

Groupe Crédit Agricole

Job Title

CDD - Data scientist H/F

Job Description

**Job Title** CDD – Data Scientist H/F **Role Summary** Data scientist within the Economic Studies Group to design, build, and maintain digital tools and data pipelines. Responsibilities include developing interactive visualisations, forecasting models, and automated ETL workflows for the ECO datalake, ensuring data quality, governance, and regulatory compliance, and producing client-facing deliverables. **Expactations** - Deliver high‑quality, reusable data products and visualisations. - Collaborate with librarians, economists, and engineering teams. - Maintain continuous data availability and integrity. - Provide insights to support strategic decision‑making. **Key Responsibilities** - Build applications and visualisations (dynamic charts, choropleth maps) to present macro‑economic data, indicators, and market insights. - Design and implement automated ETL pipelines for daily ingestion of macro‑economic sources (INSEE, Eurostat, IMF). - Create monitoring and alerting systems to detect data anomalies and ensure analytical continuity. - Implement data governance: define quality standards, manage user access, enforce regulatory requirements, and audit data provenance. - Generate custom sector dashboards with KPI integration and predictive analytics. - Draft client deliverables (reports, presentations, dashboards) in collaboration with subject‑matter experts. - Conduct ongoing maintenance and optimisation of the ECO datalake and associated tools. **Required Skills** - Proficiency in Python or R (pandas, numpy, scikit‑learn, statsmodels). - Experience with SQL and relational database design (PostgreSQL, MySQL) and Big Data technologies (Hadoop, Spark optional). - Expertise in ETL orchestration (Airflow, Prefect) and data quality monitoring. - Strong data visualisation skills using libraries (Plotly, Tableau, Power BI). - Knowledge of macro‑economic datasets and familiarity with INSEE, Eurostat, IMF data structures. - Familiarity with data governance, privacy, and regulatory frameworks. - Excellent communication, documentation, and stakeholder‑management abilities. **Required Education & Certifications** - Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related field. - Professional certifications in data analytics, ETL, or data engineering (e.g., Google Data Analytics Professional, Microsoft Certified: Data Analyst Associate) are a plus.

Montrouge, France

On site

24-12-2025

Company Name

Groupe Crédit Agricole

Job Title

Inspecteur-Auditeur Systèmes d'Information H/F

Job Description

**Job Title** IT Systems Auditor (H/F) **Role Summary** Conduct independent, high‑value IT audits for a multinational banking group, focusing on governance, architecture, development, production, security, and business continuity. Deliver insights that shape strategic decisions across the organization. **Expectations** - Complete three 12‑week audit engagements annually across diverse entities. - Travel within France and internationally (Europe, Asia, North America). - Grow expertise to qualify for future management roles within 3 years. **Key Responsibilities** - Define audit scope and objectives in collaboration with audit management. - Perform fieldwork: stakeholder interviews, IT control testing, data analysis, and technology reviews. - Identify risks, produce actionable recommendations, and draft final audit reports. - Present findings to senior management and the Audit Office’s executive committee. - Apply rigorous methodologies and innovative techniques (big‑data analytics, emerging tech, cyber security). **Required Skills** - Strong understanding of IT governance, risk management, and controls. - Proficiency in security frameworks (ISO 27001, NIST, etc.) and audit standards. - Data‑driven analytical abilities, including SQL and data‑analysis tools. - Excellent written and oral communication; ability to convey complex technical concepts to non‑technical audiences. - Self‑driven, adaptable, and collaborative team player. **Required Education & Certifications** - Bachelor’s or higher degree in Information Technology, Computer Science, Finance, or a related field. - Professional certifications such as CISA, CRISC, ISO 27001 Lead Auditor, or ITIL Foundation strongly preferred.

Montrouge, France

On site

27-01-2026

Company Name

Groupe Crédit Agricole

Job Title

CDD - Assistant chargé de reporting et coordination travaux règlementaires H/F

Job Description

**Job Title** Assistant Reporting & Regulatory Coordination Officer **Role Summary** Provide end‑to‑end support for the production and automation of levered financing (FEL) reporting to the European Central Bank (ECB). Ensure compliance with BCBS 239 principles, document processes, and harmonise communication across the Group’s 46 entities. **Expectations** - Deliver accurate, timely FEL reports in the required STE format. - Maintain full compliance with regulatory requirements and internal controls. - Facilitate clear, consistent information flow between business units, IT, and senior management. - Drive continuous improvement of reporting processes and data quality. **Key Responsibilities** 1. Produce and validate ECB FEL reports (STE format). 2. Lead automation initiatives in collaboration with IT and project teams. 3. Formalise process documentation: reporting workflow, roles, responsibilities, and control descriptions. 4. Support BCBS 239 compliance of FEL reporting. 5. Manage a generic FEL communications hub to centralise inquiries across entities. 6. Develop and maintain a FAQ and operational guide to standardise responses. 7. Build and update a dedicated FEL intranet page (“Ligne Métier Risques”) for all 46 entities (France & US). 8. Coordinate with business, MOA, and technical teams to gather and validate data inputs. 9. Participate in coordination meetings and coordination of process improvements. **Required Skills** - Strong analytical and quantitative skills; advanced Excel proficiency; basic data querying (SQL/BI tools). - Knowledge of capital‑adequacy and reporting standards (BCBS 239, EU regulatory frameworks). - Project management experience in process automation and regulatory reporting. - Excellent written and verbal communication, ability to train and influence stakeholders. - Problem‑solving, attention to detail, and ability to work under tight deadlines. **Required Education & Certifications** - Bachelor’s (or higher) degree in Finance, Economics, Accounting, or related field. - Professional certification preferred: CFA, FRM, or equivalent regulatory reporting credential.

Montrouge, France

On site

03-02-2026

Company Name

Groupe Crédit Agricole

Job Title

Machine Learning Engineer H/F

Job Description

Job title: Machine Learning Engineer Role Summary: Design, develop, and deploy advanced data‑science solutions to support audit and inspection processes. Drive the industrialization of machine‑learning models, enhance decision‑making services, and maintain an updated technology ecosystem across structured and unstructured data. Expectations: Deliver scalable ML/AI projects with rigorous risk controls. Collaborate with cross‑functional teams, actively contribute to methodological improvement, and stay informed on emerging technologies including generative AI. Key Responsibilities: - Strengthen analytics, data‑science, AI, and Gen‑AI platforms and tools. - Industrialize use‑cases and create new data‑science services/products for audit decision support. - Collect, preprocess, and model structured and unstructured data from end‑to‑end audit processes using machine learning, deep learning, and statistical methods. - Monitor, evaluate, and continuously improve deployed solutions. - Contribute to method enrichment through training design and technological watch. Required Skills: - Proficiency in Python/R; experience with ML frameworks (TensorFlow, PyTorch, Scikit‑learn). - Strong knowledge of data‑engineering pipelines, feature engineering, and model deployment (Docker, Kubernetes). - Expertise in supervised/unsupervised learning, deep learning, and statistical analysis. - Familiarity with NLP and generative‑AI techniques for unstructured data. - Ability to translate business requirements into technical specifications and communicate results to stakeholders. - Strong problem‑solving, analytical, and project‑management skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - Professional certifications in ML/AI technologies (e.g., TensorFlow Developer, AWS Machine Learning Specialty, or equivalent) are preferred.

Montrouge, France

On site

03-02-2026