Senior Data Scientist, Wholesale Credit Technology - job id 33333

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Senior Data Scientist, Wholesale Credit Technology

$215,000 F/T Employee

Jersey City-NJ

How to Apply


Claire Volis


(732) 757-2841


(212) 616-4800 ext-590

A F/T position at a major U.S. financial institution.

Pay Options: F/T Employee.

Contact Claire Volis. call (732)791-4721 / (212)616-4800 ext.590 or email with the Job Code CV33333 or Click the Apply Now button ().

Location: Jersey City-NJ.

Skills required for the position: DATA SCIENTIST, MACHINE LEARNING.

Detailed Info: 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.

Development/Computing Environment: 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..

The position offers competitive compensation package.

Job Id: 33333