Robotics and Analytics Developer, Wholesale Credit Technology

  • Competitive
  • New York City, NY, USA
  • Festanstellung, Vollzeit
  • Bank of America Corporation
  • 17 Okt 18

Robotics and Analytics Developer, Wholesale Credit Technology

Job Description:

Bank of America is seeking an experienced developer for the Robotic and Analytics group to align to the the digital transformation program within Wholesale Credit Technology. The scope of projects include Robotics, OCR/Data Extraction and Predictive Analytical solutions.

  • Build solutions and infrastructure to support modeling and analyzing loan data for Wholesale Credit Business lines.
  • Develop value-added analytics and data extraction 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.
  • Adopt Global Banking and Markets and Enterprise Level 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 and code on projects.

Minimum qualifications
  • Typically requires a minimum of 5-7+ years as a practitioner of analytical software development in Financial Markets
  • Proficiency in building large systems in multiple languages: Java, C++ or Python
  • Database Experience with SQL, Sybase or Oracle
  • No-SQL experience with HDFS, MongoDB or others.
  • API development experience for data intensive applications and analytics visualization tools.
  • Unix and Microsoft Windows development experience.
  • Preferred but not required: Advanced degree in Computer Science or related field or substantial equivalent experience.

1st shift (United States of America)

Hours Per Week: