Lead Data Scientist ( consumer lending / credit cards data analytics ) at System One

For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.



*** The job is on-site with a HYBRID work schedule. Candidates must be local or willing to relocate within commuting distance of Chicago IL, Pittsburgh PA, Wilmington DE


Lead Data Scientist :

- Lead various analytical projects for credit card decision science initiatives
- Supervise junior analysts
- Create data-driven presentations for product team collaboration
- Develop and implement consumer lending strategies
- Design and execute machine learning models for credit decisioning
- Analyze large-scale credit card portfolio performance


Required Qualifications (Skills, Experience, Education, Certifications) :

- Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field
- Experience in consumer lending data analytics, preferably with a major financial institution ( ideally a mid-to-large bank or a fintech lender – building strategies for originating new loans/credit cards; and/or building strategies for managing an existing portfolio of loans/credit cards )
- Experience with credit bureau attributes and internal risk/return metrics of a consumer lending product (preferably credit card)
- Experience in querying, analyzing and synthesizing large consumer lending datasets that provide credit profiles of various account originations along with their performance from a delinquency, loss, and revenue standpoint.
- Should bring to the table expertise in consumer lending (preferably credit care) performance data analysis along with a foundational knowledge of Machine Learning techniques
- Experience with Python / PySpark for large-scale data analysis
- Experience with data visualization tools, particularly Tableau
- Experience with statistical analysis and machine learning model development
- Experience working in a fast-paced environment partnering with various stakeholders (e.g. Product and Credit Risk teams) to simultaneously manage multiple ongoing changes in lending strategies.
- Experience reviewing the work of junior analysts and providing feedback.


For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.

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