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Senior Data Scientist, Wholesale Credit Technology
Job Location:
Job Location:
Jersey, NJ - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
21 October 2026 (Yesterday)
Posted:
Application Deadline:
18 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job description
Client is seeking a Senior Data Scientist in the Analytics Team for the digital transformation program within Wholesale Credit Technology.
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status.
Client is seeking a Senior Data Scientist in the Analytics Team for the digital transformation program within Wholesale Credit Technology.
- The scope of projects include Descriptive Predictive and Prescriptive Analytics.
- Cultivate the team and the infrastructure to support modeling and analyzing loan data for Wholesale Credit Business lines.
- Develop value-added analytics solutions that support revenue generation business insight risk management operational efficiency regulatory compliance loan pricing pre and post-sale loan facility research.
- These solutions must overcome issues of complex data (e.g. VLDB multi-structured big data etc.) as well as deployment of advanced techniques (e.g. machine learning text mining statistical analysis etc.) to deliver insights.
- Determine best practices in the areas of Data Science and Machine Learning.
- Facilitate the use of these technologies within the loan business and loan system applications including Precision Lender and other Wholesale Credit business processes.
- Liaise with Global Banking and Markets and Enterprise Level teams to determine the best practices in the firm and contribute to improving proficiency in these areas for WCT and the firm more generally.
- Work with the Robotics and Analytics Swat Team during project intake and present new technologies that relate to solutions for high ROI applications of analytics.
- Manage projects and project budget.
- Ph.D. degree in related field preferred or substantial equivalent experience.
- Typically requires a minimum of 7-10 years as a practitioner of machine learning in Financial Markets.
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status.
Required Experience:
Senior IC
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