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Strong employer brand, common program-management title, and metro location increase applicant competition.
Collections and lending regulatory knowledge make the role highly domain-specific and less transferable across industries.
Role needs domain collections experience plus analytics and SQL/Python skills, so filters are moderately strict.
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Develop and oversee collection strategies using data science and advanced analytics to improve lending collections.
Analyze large datasets to drive actionable insights that enhance business outcomes and optimize collection performance through segmentation and forecasting.
Lead process improvements, A/B testing, and implementation of collection models to increase recovery rates and ensure regulatory compliance.
Proficient in MS Excel and PowerPoint; experience with Tableau preferred; knowledge of SQL/R/Python is an added advantage.
Experience in collection strategy development and implementation with strong analytics focus.
Work Experience Required: Not explicitly mentioned in the JD.
Not explicitly mentioned: degree requirements, location, or notice period.
Experienced in data-driven lending collections strategy with ability to translate analytics into operational improvements.
Comfortable working with large, complex datasets and proficient in statistical modeling, forecasting, and segmentation techniques.
Skilled at cross-functional collaboration to implement strategies that balance cost-effectiveness and regulatory adherence.