Key Responsibilities:

• Under your manager’s limited guidance, you will design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems.
• Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies.
• Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment
• Drive profitable business growth via developing strategy optimization framework with full credit-cycle view
• Implement Quality Control processes to ensure data accuracy.
• Continually enhance existing processes and reporting through automation, quality control, presentation and insights.
• Effectively summarize and present results and insights to management.

• Bachelor Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred.
• 4+ years of experience in complex, data-driven problem solving. Master’s or PHD degrees may offset experience. 

• $60 to $72