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VP - Data Science (Consumer Credit)

  • Job type: Permanent
  • Location: New York
  • Salary: US$170000 - US$180000 per year
  • Job reference: 266841/004_1552431673
  • Sector: Selby Jennings
  • Date posted: 12/03/2019

Want to work in a newly formed group that will drive business decisions at a massive investment bank?

This position was recently implemented by the CEO of the bank to drive decision making and strategies for their entire consumer lending platform. You will be using some of the latest technologies to develop machine learning models from scratch and help optimize existing models with a focusing on consumer credit risk. You will be in a position that will provide massive exposure to a variety of different modeling methodologies and machine learning techniques. Essentially, you will be working with a variety of team heads across multiple lines of business to assure that machine learning technologies are being implemented properly and models are performing at an optimal level.

Responsibilities:

  • Monitor portfolio performance and consumer behavior in response to market conditions

  • Utilize the latest technologies to develop analytical frameworks to improve optimization and efficiency

  • Provide credit pricing insights to assist with decision making across the business.

  • Effectively communicate model results and changes effectively to senior management and develop strategies to improve business functions.

Requirements;

  • Proven experience developing machine learning models within the credit risk domain. (Consumer behavior or Credit Pricing experience is a BONUS)

  • 5+ years of experience in Data Science (Data Analysis, segmentation and behavioral modeling, cleaning, predictive analytics, machine learning, etc.)

  • Master's degree or above in computer science, engineering, applied statistics, or any relevant field of study.

  • Excellent communication skills are a MUST!

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