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Data Scientist
Ref No.: 18-11012
Location: New York, New York
Princeton Information is seeking a Data Scientist in New York, NY for a long term contract opportunity.

Department Profile

Global Banking Technology (GBT) is a dynamic and fast-paced area within the Firm's WM Technology Division. We are responsible for creating innovative technology solutions for the Private Banking Group (Client), one of the strategic growth areas of the Firm, providing cash management and lending products and services to our WM clients.

This includes state-of-the-art technology for a nationwide network of Private Bankers and product specialists who work with Financial Advisors to provide access to products and services such as online banking, cards, deposit products, residential mortgages, securities-based loans and tailored lending. If you are an exceptional individual who is interested in solving complex problems and building sophisticated solutions in a dynamic team environment, GBT is the place for you.

Position Description:

The Private Bank Group (Client) and Credit have entered into a joint initiative designed to deliver an accelerated credit decision to clients applying online or over the phone. This accelerated credit decision service will reduce initial application intake requirements, documentation requirements and digitize many routine activities.

We are looking for a hands-on Data Scientist to join our technologically advanced team and be part of the build out and support of this multiyear customer centric next generation platform. The Ideal Candidate would be someone who is experienced working with a wide range of statistical and machine-learning tools to build statistical models, train and test them and drive their optimal level of model performance.

Job Functions/Duties and Responsibilities:
  • Partner with IT teams and develop analytical products and applications using Big Data Stack for Wealth Management
  • Work with large datasets to investigate key business trends, behaviors, and metrics.
  • Develop, build and train machine learning models using wide range of machine learning tools and techniques
  • Conduct data model, data architecture and data integration design review sessions. Support business analysts and developers with data subject expertise, query building and optimization
  • Supporting implemented solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
  • Troubleshoot data issues and work with data providers for resolution
  • Work with geographically dispersed teams (NY & Mumbai)
Skills Required:
  • 6-8 years of experience as a Data Scientist in delivering building complex Client models and delivering key business insights and metrics for financial or product organizations
  • Strong experience in statistical modeling and a very strong grasp of statistical concepts. Must be comfortable in the world of numbers, models, and algorithms
  • Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM is required
  • Experienced in working with large data sets, with big data processing tools like MapReduce, Spark, Hive, etc.
  • Good SQL skills with knowledge and experience in working with any of the RDBMS database
Skills Desired:
  • Good understanding / experience in the following domain/technologies would be a plus
  • UNIX (Experience in any scripting language)
  • Knowledge of Financial market, lending based products & Wealth Management.