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

STAGE - Ingénieur quantitatif – validation des performances de modèles de provisionnement IFRS9 H/F

Job Description

Job Title: Quantitative Engineer Intern – IFRS9 Model Performance Validation Role Summary: Intern will support the validation of IFRS9 provisioning models (PD, LGD, EAD, ECL, SICR) by designing, implementing, and testing independent quantitative metrics and statistical tests. The intern will develop a Python‑based automation tool to evaluate model performance, challenge existing methods, and produce documentation and guidance for model users. Expectations: - Deliver a set of independent indicators and statistical tests for IFRS9 model validation. - Build and test a Python automation framework applied to one retail or large‑client portfolio during the internship. - Produce a comprehensive guide detailing the application, advantages, and limitations of each validation method. Key Responsibilities: - Study internal modeling and backtesting standards and the evolving regulatory framework. - Conduct in‑depth literature review on IFRS9 performance controls and validations. - Critically assess current internal methodologies for predictive capability, hypothesis testing, stability analysis, etc. - Design and implement new statistical tests and performance indicators. - Develop a Python tool that automates data extraction, analysis, and reporting of validation results. - Apply the tool to at least one internal model (low‑default or high‑default portfolio). - Document findings, outline best‑practice guidance, and produce a user manual for the tool. Required Skills: - Proficient in Python (pandas, numpy, scipy, statistical libraries). - Strong quantitative background: statistics, predictive modeling, risk measurement. - Knowledge of credit risk modeling concepts: PD, LGD, EAD, ECL, SICR. - Ability to interpret and apply regulatory and internal modeling standards. - Experience with model backtesting and validation frameworks. - Excellent analytical, problem‑solving, and documentation skills. Required Education & Certifications: - Currently enrolled in or recent graduate of a bachelor’s or master’s program in Finance, Economics, Statistics, Mathematics, Engineering, or related quantitative field. - Understanding of IFRS9 principles (advantageous but not mandatory).

Montrouge, France

On site

09-12-2025

Company Name

Groupe Crédit Agricole

Job Title

STAGE - Ingénieur quantitatif – validation des performances de modèles CCF

Job Description

**Job Title** Stage – Quantitative Engineer – Validation of Model Performance (CCF) **Role Summary** Internship focused on the validation and enhancement of Credit Risk models within a banking group. The role involves critically evaluating model performance metrics (discriminatory power, homogeneity/heterogeneity, predictive power) in the context of changing regulatory requirements, developing independent statistical indicators and automation tools in Python, and documenting best practices for implementation. **Expectations** - Deliver rigorous assessment of existing CCF model validation methods and propose improved, independent indicators. - Build and maintain a Python‑based automation framework for model performance testing. - Apply the framework to specific retail or high‑default portfolios during the internship. - Produce concise documentation and a user guide for the tools and methods developed. **Key Responsibilities** 1. Review internal modeling and back‑testing standards and regulatory developments. 2. Conduct comprehensive literature reviews on CCF performance validation techniques. 3. Evaluate current validation procedures (predictive power tests, discriminatory power tests, homogeneity/heterogeneity tests, stability analysis). 4. Design and implement new statistical indicators and tests independent of existing modeling functions. 5. Integrate these indicators into a Python automation tool, ensuring scalability across portfolios of varying volume and default counts. 6. Apply the tool to at least one model in either a low‑default or high‑default portfolio. 7. Document the advantages, limitations, and appropriate use cases for each proposed method. 8. Compile a practical guide for model validation teams on using the developed tool and indicators. **Required Skills** - Strong foundation in statistics and probability with application to credit risk modeling. - Proficiency in Python (pandas, numpy, scipy, statsmodels or equivalent). - Experience with model back‑testing, validation, and regulatory compliance. - Ability to translate complex statistical concepts into actionable tools and documentation. - Analytical mindset with meticulous attention to detail. - Effective written communication for technical reporting and guide creation. **Required Education & Certifications** - Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, or related quantitative discipline. - Familiarity with regulatory frameworks for credit risk (e.g., Basel III, ISO 27001) is desirable. - Relevant certifications such as FRM, CFA, or equivalent are advantageous but not mandatory.

Montrouge, France

On site

09-12-2025

Company Name

Groupe Crédit Agricole

Job Title

STAGE - Développeur d'outils d'analyse de risque de marché H/F

Job Description

**Job title** Internship – Market Risk Analysis Tools Developer (M/F) **Role Summary** Provide technical support to the Group’s Market Risk team by developing, maintaining, and automating risk analytics tools in Excel/VBA and Access, and producing weekly risk indicator reports. **Expectations** - Apply financial risk concepts to real‑world market risk data. - Deliver reliable, user‑friendly tools that enhance existing risk monitoring processes. - Collaborate with risk experts to refine data pipelines and reporting standards. **Key Responsibilities** - Design, code, and test new Excel/VBA and Access applications for market risk analysis. - Refine and automate existing tools to improve data quality and process efficiency. - Generate and distribute weekly risk indicator reports to internal stakeholders. - Participate in cross‑functional projects and discussions related to market risk initiatives. - Document code, procedures, and best practices to support knowledge transfer. **Required Skills** - Proficiency in Excel (formulas, tables, charts) and VBA programming; experience with Access databases. - Solid understanding of market risk concepts (e.g., pricing, counter‑party risk, VaR). - Analytical mindset with attention to detail in data handling and validation. - Strong communication skills to explain technical solutions to non‑technical colleagues. - Ability to work independently and as part of a multidisciplinary team. **Required Education & Certifications** - Current enrollment or recent graduation with a Bachelor’s or Master’s degree in Computer Science, Finance, Economics, Mathematics, or a related discipline. - No specific certifications required, but coursework in risk management, financial modelling, or database design is advantageous.

Montrouge, France

On site

09-12-2025

Company Name

Groupe Crédit Agricole

Job Title

STAGE - Assistant FinOps & GreenOps : Pilotage budgétaire, performance et sobriété Cloud H/F

Job Description

**Job Title** Assistant FinOps & GreenOps Intern **Role Summary** An internship focused on financial and environmental stewardship of cloud services within a data‑and‑AI transformation context. The intern will enhance financial visibility and ecological impact tracking for AWS cloud usage, support cross‑functional reporting, and drive cloud resource optimization to achieve cost efficiency and reduced carbon footprint. **Expectations** - 6‑to‑12 month internship (full‑time, 35‑40 hrs/week). - Bachelor’s level education in Engineering, Computer Science, Finance, Environmental Sciences, or related discipline. - Basic financial analysis and data handling skills. - Ability to communicate complex technical concepts to non‑technical stakeholders. **Key Responsibilities** - Collect, consolidate, and analyze financial and energy consumption data from AWS accounts. - Identify budget variances, carbon impact, and opportunities for cost and environmental optimization. - Design and maintain dashboards tracking expenditures and environmental metrics. - Produce regular reports for Finance, ESG, and IT teams; translate FinOps/GreenOps concepts into accessible summaries. - Document best‑practice guidelines and standard operating procedures. - Collaborate with DevOps teams to recommend resource resizing, idle resource shutdowns, and reservation strategies. - Participate in cloud consumption audits and awareness campaigns. - Conduct ongoing technology watch on cloud offerings, FinOps and GreenOps tools, and propose continuous improvement initiatives. **Required Skills** - Proficient in spreadsheet tools (Excel, Google Sheets) and data visualization (Power BI, Tableau, or equivalent). - Experience with AWS cost management tools (AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report). - Familiarity with cloud sustainability metrics (e.g., carbon intensity, e‑facteur). - Strong analytical and quantitative skills. - Excellent written and oral communication; fluent in English; French an advantage. - Self‑initiative, collaborative mindset, and ability to prioritize tasks in a fast‑moving environment. **Required Education & Certifications** - Current student or recent graduate (≤ 2 years post‑graduation) with a degree in Computer Science, Engineering, Finance, Environmental Science, or related field. - AWS Certified Cloud Practitioner or similar cloud certification is a plus but not mandatory. ---

Montrouge, France

Hybrid

14-12-2025