Data Scientist

Job Summary

A company is looking for a Data Scientist to develop machine learning models for credit and fraud risk management.

Key Responsibilities

• Develop and implement machine learning models for credit risk assessment and fraud detection
• Build and improve quantitative and qualitative models for risk methodologies
• Optimize risk-based pricing strategies and collaborate with engineers to deploy models

Required Qualifications

• 1+ years of experience in Data Science, Credit Risk, or related fields
• Advanced degree (M.S./PhD preferred) in a quantitative field such as Statistics or Computer Science
• Expertise in Python and SQL, with experience in data pipelines using Google Cloud products
• Strong experience in risk modeling and machine learning techniques applied to financial services
• Experience with Looker or similar BI tools for designing reports and dashboards