Job Summary

A company is looking for a Senior Data Scientist specializing in Credit Risk within the Global Risk Decision Science team.

Key Responsibilities:

• Develop data-driven methods to measure and monitor credit risk across products and services
• Utilize statistical and machine learning methods to deliver models supporting risk decision making
• Manipulate high volume data sources, extract patterns, and engineer features for analysis

Required Qualifications:

• 3+ years of experience in statistical and machine learning methods for credit risk management
• Master's or PhD in a quantitative field such as Mathematics, Statistics, or Data Science
• Advanced knowledge of SQL, Python or R, and data visualization libraries
• Solid understanding of credit risk drivers and internal risk management processes
• Experience collaborating in mixed technical and non-technical teams