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IA
Hybrid Senior Manager, Data Science and Analytics – Originations
Posted 2 days ago
About the role
- 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.
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