Financial Risk Credit Modeler

About the role

In this role, you will act as a force multiplier for quantitative analytics teams by designing, building, and deploying Generative AI tools and Large Language Model (LLM) applications that support analytical modelers in their day-to-day work.

What you'll do

• Develop and validate credit risk models
• Enhance the usage of Artificial Intelligence / ML and transform into more efficient solutions
• Using GCP, SAS, R, Python, for model building and model validation
• Continual enhancement of statistical techniques and their applications in solving business objectives
• Compile and analyze the results from modeling output and translate into actionable insights

What you need

• Excel
• GCP
• SAS
• Machine learning
• Statistics
• R
• MBA

Good to have

• Python
• PowerPoint
• Credit risk
• Data privacy
• LLMs