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

For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - 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 https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message. #M1 .