Senior Manager in Data Science and Analytics leading statistical modeling for mortgage and consumer lending. Collaborating with teams to deliver data-driven insights and improve operational efficiency.
Responsibilities
Design, develop, and maintain statistical and machine learning models using advanced SAS programming.
Build and optimize SAS-based reports and data pipelines to support business operations and decision-making.
Streamline and automate existing modeling, reporting, ETL processes to improve efficiency, scalability, and accuracy.
Analyze model performance and identify opportunities for improvement and optimization.
Collaborate with cross-functional teams (Marketing, Sales, Finance) to define analytical requirements and deliver actionable insights.
Support customer segmentation, campaign analytics, and marketing file generation.
Ensure compliance with data governance, privacy, and regulatory standards.
Requirements
Minimum education required: Bachelor’s degree in Statistics, Computer Science, Engineering, Mathematics, or a related field.
Preferred education: Master’s (or PhD) degree in a quantitative discipline.
Minimum years of experience required: 7+ years in data analytics.
Ideal candidate also has some experience in marketing and/or mortgage analytics (but not required).
Expert-level SAS programming is mandatory, including SAS macro language and experience with modeling procedures.
Strong proficiency in SQL and Microsoft Office.
Working knowledge of Python for data manipulation, automation, or exploratory analysis.
Solid foundation in statistical modeling and data analysis.
Ability to translate business objectives into analytical solutions.
Excellent communication skills for both technical and non-technical stakeholders.
Experience in financial services or mortgage industry is a plus.
Job title
Senior Manager, Data Science and Analytics – Originations
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