Overview

Lead credit risk modeling with advanced analytics as a Data Scientist. Utilize skills in statistical modeling and machine learning in a hybrid work setting.

Responsibilities

• Design and validate credit risk models including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).
• Analyze internal and external data for data-driven insights.
• Apply machine learning techniques for risk and prospect identification.
• Communicate complex insights to non-technical stakeholders.
• Collaborate with teams to implement analytics in production.

Requirements

• Bachelor’s degree in relevant fields.
• 4+ years in data science or risk modeling.
• Experience with statistical modeling techniques.
• Proficiency in SQL, SAS, R, or Python.
• Robust analytical and communication skills.

Bring your expertise in analytics and risk modeling ...