Risk Intern - AI & Analytics for Reporting

Crédit Agricole CIB; Greater London; On-site; GBP 24,000 - 32,000; Full time

Job summary

Crédit Agricole CIB in London seeks a 12-Month Risk Intern to support the Risk and Permanent Control (RPC) team. You will assist risk managers, analysts and tech specialists in enhancing AI-driven risk monitoring and reporting processes.

You'll help prepare the London risk dashboard, develop data visualizations, and build internal tools in Python and Excel to improve accuracy and efficiency, while ensuring compliance with regulatory standards and the bank's methodologies.

Qualifications

• Experience with risk data analysis and reporting is desirable.
• Familiarity with AI-driven tools and data visualization is a plus.
• Proactive in developing efficient risk reporting processes.

Responsibilities

• Prepare the London risk dashboard and London risk committee materials.
• Participate in data analysis, visualization and quality assurance tasks related to risk metrics.
• Assist in the development and integration of AI-driven tools to enhance risk monitoring and decision-making.
• Design and build internal tools (e.g. in Python, Excel) to streamline and simplify risk reporting, reducing manual effort and increasing accuracy
• Engage with stakeholders across business lines to understand risk reporting needs and identify opportunities to harmonize reports, reduce duplication, and enhance the quality of management information
• Document process improvements and share learnings with the wider team to support ongoing knowledge development

Skills

Data analysis

Python

Excel

Risk reporting

AI tools

Tools

Python

Excel

Job description

Crédit Agricole CIB in London seeks a 12-Month Risk Intern to support the Risk and Permanent Control (RPC) team. You will assist risk managers, analysts and tech specialists in enhancing AI-driven risk monitoring and reporting processes.

You'll help prepare the London risk dashboard, develop data visualizations, and build internal tools in Python and Excel to improve accuracy and efficiency, while ensuring compliance with regulatory standards and the bank's methodologies.