JPMorgan Chase: Data Scientist for New Customer Engagement

Develop and plan required analytic projects; work with data owners and managers to develop data models and protocols for mining production databases.

JPMorgan Chase Company: JPMorgan Chase
Location: Wilmington, DE or New York, NY

For immediate consideration please send your resume directly to .

Business Analytics for New Customer Engagement (NCE)
NCE is part of Consumer and Community Banking (CCB) Operations and is responsible for the on-boarding of new customers into the Card Services and Retail Telephone banking businesses. While the focus is primarily on Call Center Operations, new customers can apply via any of the other available channels, such as, Branch or Letter applications. Chase on-boards 250,000 new customers per month and there exists a significant opportunity to streamline existing processes, standardize experiences across channels and improve the customer experience.

  • Develop and plan required analytic projects in response to business needs.
  • In conjunction with data owners and department managers, contribute to the development of data models and protocols for mining production databases.
  • Contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies.
  • Work with business domain experts and application developers to identify data relevant for analysis
  • Work with application developers to extract data relevant for analysis.
  • Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
  • Provide and apply quality assurance best practices for data mining/analysis services.
  • Develop new analytical methods and/or tools as required.
  • Adhere to change control and testing processes for modifications to analytical models.
  • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems.
  • Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.
  • Manage and/or provide guidance to junior members of the team.

  • Strong understanding of data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques.
  • Excellent knowledge of data mining / predictive modeling tools such as SAS, SPSS
  • Experience with cross channel marketing and analysis tools such as Adobe Insights or ClickFox
  • Hands-on coding / implementation of algorithms for data mining.
  • Ability to conduct research into data mining issues, practices and products as required.
  • Strong familiarity and experience with data preparation and processing such as assessment of data quality, new variable creation, variable selection, etc.
  • 2+ years of working in large and medium project teams, as a contributing member, leader and self-directed roles.
  • Advanced Degree (PhD) in the fields of statistics, mathematics, computer science or operations research or 5 years equivalent work experience.
  • Financial Services (Consumer or Retail), Telecommunications, Retail or Media experience