Lead Data Scientist in Hybrid Risk Modeling
F
FCC / FAC
📍 quebec, capitale nationale, Canada
Job Description
Join a dynamic team as a Lead Data Scientist focused on credit risk modeling. Utilize your expertise in statistical modeling and machine learning within a hybrid work environment.
This role emphasizes the development and validation of critical credit risk models such as Probability of Default, Loss Given Default, and Exposure at Default. You will analyze both internal and external data, applying machine learning for enhanced risk assessment and communication of insights to stakeholders. Collaboration with cross-functional teams is essential to implement analytics effectively in production settings.
Key Responsibilities:
• Design and validate credit risk models
• Analyze data for valuable insights
• Apply machine learning techniques for risk identification
• Communicate insights to non-technical stakeholders
• Collaborate on implementing analytics solutions
Requirements:
• Bachelor’s degree in relevant fields
• 4+ years in data science or risk modeling
•...
This role emphasizes the development and validation of critical credit risk models such as Probability of Default, Loss Given Default, and Exposure at Default. You will analyze both internal and external data, applying machine learning for enhanced risk assessment and communication of insights to stakeholders. Collaboration with cross-functional teams is essential to implement analytics effectively in production settings.
Key Responsibilities:
• Design and validate credit risk models
• Analyze data for valuable insights
• Apply machine learning techniques for risk identification
• Communicate insights to non-technical stakeholders
• Collaborate on implementing analytics solutions
Requirements:
• Bachelor’s degree in relevant fields
• 4+ years in data science or risk modeling
•...