Predictive Modeler

Chicago, IL 60606

Posted: 09/04/2019 Category: Credit Job Number: 281629-5_1 Salary: $100,000 - 120,000
Smith Hanley Associates
Predictive Modeler
Chicago, IL
$100,000 - 120,000
Contact: Nancy Darian - [email protected]

Chicago based small business loan company is seeking a Predictive Modeler to build on recent successes using data analysis to grow the business. Build and implement models to improve the funding rate and minimize the bad rate. Mine existing data to help the company make smarter lending decisions. Develop new sources of data to improve predictive modeling and put new products in the marketplace. Use your background in prepayment and default prediction and conversion optimization to increase customer satisfaction and company ROI.

NOTE: Visas cannot be sponsored or transferred at this time. Candidates must have a minimum of three years of post-academia analytics experience in credit lending.

Responsibilities of the Predictive Modeler:
--Own the entire model life cycle to attract new customers and improve credit scoring.
--Develop new data sources.
--Use machine learning methods to mine data and produce algorithms to convert leads.
--Produce and present analysis and insights to drive decision making.
--Develop models and analysis leading to a reduction in acquisition costs.
--Own the data science part of the business.

Qualifications of the Predictive Modeler:
--Expertise in predictive modeling in a credit risk environment.
--Proficiency using SQL, Tableau and SAS or Python.
--Minimum three years of post-academia business experience in a credit analytics setting.
--Master's degree in a quantitative field (predictive analytics, mathematics, economics, statistics etc.).
--Keen ability to find answers to business challenges using data and machine learning.

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Smith Hanley Associates is the premier recruiting agency serving the analytics and data science space. For more information, please visit our website at

Nancy Darian
Executive Recruiter

Nancy joined the Chicago office of Smith Hanley in 2005. Her expertise in the marketing analytics discipline has resulted in successful partnerships with both clients and candidates. She brings a customer-centric orientation, industry expertise, energy and integrity to her work.
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