Senior Credit Risk Modeler

We are assisting a well established small business lender as they expand their Data Science function. This Statistical Modeler-Risk will build pricing and underwriting algorithms and help shape and design the analytics function.

Qualifications:

• 4+ years of solid experience building risk models (credit and fraud) for scoring risk of personal and small business entities in a small business lending product environment.
• Advanced mathematical and statistical techniques (e.g. GBM, logistic regression, cluster analysis, neural networks, independence testing, etc..)
• Develop, document, monitor, and improved machine learning models for credit assessment, fraud detection, and other relevant customer lifecycle models
• Fluency in programming languages such as R, Python, SQL.Tableau and Lookr

Background:

• MS in quantitative discipline strongly preferred
• Excited to work in a hyrbid work environment
• Experience developing supervised and unsupervised machine learning algorithms
• Proficiency in working with Pythong and SQL databases as well Tableau and/or Looker