Data Scientist IA RPC H/F

Summary: The Data Scientist IA RPC role at Crédit Agricole Corporate and Investment Bank involves developing and implementing AI models to enhance risk management and control processes. The position requires close collaboration with various departments to identify high-value AI use cases and ensure the effective deployment of AI solutions. The candidate will also engage in project phases from ideation to operational implementation, contributing to the governance of AI practices within the organization.

Key Responsibilities:

• Understand strategic challenges in risk management and propose high-value AI use cases.
• Participate in project scoping and assess technical feasibility.
• Design and implement algorithms for risk management tasks.
• Contribute to the production and performance monitoring of AI models.
• Share experiences and results with RPC governance and the broader Data Science community.
• Conduct academic and technological monitoring related to AI in risk management.
• Ensure compliance with AI governance practices within the organization.
• Work within the framework of CACIB's model governance for risk management.

Key Skills:

• Strong knowledge of AI concepts and methodologies.
• Familiarity with Generative AI and Agent-based AI is a plus.
• Basic knowledge of continuous integration/deployment and Dataiku.
• Experience with AWS Bedrock platform.
• In-depth understanding of risk management activities is advantageous.
• Excellent communication skills.
• Strong analytical skills and attention to detail.
• Team-oriented with a curiosity for research and innovation.
• Proficiency in Microsoft Office Suite.
• Programming skills in Python, R, Java, or Julia.
• Familiarity with code management tools.
• Fluency in English.

Salary (Rate): undetermined

City: Montrouge

Country: France

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other