Senior Data Scientist, Wholesale Credit and Banking Technology
$275,000 F/T Employee (base + bonus)
A Full-time position at a major U.S. financial institution.
Pay Options: F/T Employee.
Contact Jason Vu. call (646)876-9536 / (212)616-4800 ext.290 or email firstname.lastname@example.org with the Job Code JV33498 or Click the Apply Now button ().
Location: Midtown or Downtown.
Skills required for the position: DATA SCIENTIST, MACHINE LEARNING, NLP.
To be responsible for developing innovative applications in the Global Markets environment. Software developers design, code, test, debug, document programs as well as maintain corporate systems architecture.
Employees work closely with business partners in defining requirements for system applications. Employees typically have in-depth knowledge of development tools and languages. Employees are expected to have in-depth global markets and credit product knowledge, and manage a high level of risk.
The scope of projects include Descriptive, Predictive and Prescriptive Analytics, as well as NLP activities such as document classification, even detection and data extraction.
Cultivate the team and the infrastructure to support modeling and analyzing both structured and unstructured data for Wholesale Credit Business lines.
Develop value-added analytics and NLP 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 NLP, Data Science and Machine Learning.
Development/Computing Environment: Typically requires a minimum of 7-10+ years as a practitioner of machine learning in Financial Markets. -5+ years of experience in Descriptive, Predictive and Prescriptive Analytics, as well asm NLP activities such as document classification, even detection and data extraction. MS and/or Ph.D. degree in related field preferred or substantial equivalent experience..
The position offers competitive compensation package.
Job Id: 33498