Senior Data Scientist

RESPONSIBILITIES & KEY PROJECTS:

• Develop algorithms to unify bank transaction data from multiple banks and data vendors
• Develop models based on bank transaction descriptions and other consumer finance data
• Use bank transaction data to research and create variables used for credit risk modeling
• Develop underwriting/credit risk models using bank transaction data
• Collaborate with engineering teams to guide reliable deployments of data science solutions;
• Perform continuous research into new data sources, feature engineering, and modeling methodologies

YOUR SKILLSET:

• 4+ years of relevant quantitative modeling or model validation experience in consumer finance/credit risk
• MS in a quantitative field such as Statistics, Data Science, Economics, or Operational Research
• Experience with generalized linear models, machine learning methods, and hypothesis testing
• Fluent in Structured Query Language (SQL) and Python
• Experience with PySpark preferred
• Experience with alternative data preferred
• Above all, critical thinking skills, creativity, an open mind, and curiosity to explore complex data to extract usable information and insights!