Risk & AI Intern: Data-Driven Risk Reporting

Crédit Agricole CIB; Greater London; On-site; GBP 24,000 - 30,000; Full time

Job summary

Crédit Agricole CIB in London is offering a Risk Intern position within the RPC department to support and enhance risk reporting with AI-driven solutions. You will work alongside risk managers, analysts, and technology specialists to build dashboards and tools that improve efficiency and accuracy.

The role requires a 2:1 degree in risk/finance/data science or computer science plus exposure to AI concepts and strong analytical skills.

Qualifications

• Bachelor Degree / BSc Degree or equivalent in a Risk, Finance, Data Science, Computer Science or related field.
• Graduated within the past 18 months with a minimum 2:1 or equivalent.
• Exposure to AI / ML concepts.

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 process.
• 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

AI concepts

Microsoft Office

Good communication

Teamwork

Analytical thinking

Education

Bachelor Degree / BSc Degree or equivalent in Risk, Finance, Data Science or Computer Science

Tools

Excel/VBA

SQL

PowerBI

Python

Job description

Crédit Agricole CIB in London is offering a Risk Intern position within the RPC department to support and enhance risk reporting with AI-driven solutions. You will work alongside risk managers, analysts, and technology specialists to build dashboards and tools that improve efficiency and accuracy.

The role requires a 2:1 degree in risk/finance/data science or computer science plus exposure to AI concepts and strong analytical skills.