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Machine Learning Risk Modeler

  • Job type: Permanent
  • Location: New York
  • Salary: US$110000 - US$130000 per year
  • Job reference: 205891/001_1541458907
  • Sector: Selby Jennings, Risk Management
  • Date posted: 05/11/2018

Are you a highly quantitative individual looking for an opportunity to join a rapidly growing Financial Technology company?

My client is a small credit card lender based in the Greater New York City area that is looking to expand their Risk modeling team in an effort to better assess credit worthy consumers. This role will work across multiple lines of business including acquisitions, underwriting, customer retention, etc. to build and enhance a variety of predictive models using machine learning and artificial intelligence methodologies. This company is looking add highly motivated and intelligent individuals to impact the way creditworthiness is viewed, even for those who have never had credit before!

Responsibilities:

  • Research new models and algorithms to improve credit scoring.

  • Partner with data engineers to validate and implement new solutions in an efficient manner.

  • Build Risk related predictive models with regards to underwriting, strategy and acquisition.

  • Develop data visualizations to solve complex problems and communicate new ideas to internal stakeholders.

Qualifications:

  • 3 years of relevant Data Science experience.

  • Proficiency using both R and Python.

  • In Depth understanding of Machine Learning Methodologies

  • Previous financial services experience is a plus.

If this sounds like an opportunity that might be of interest, APPLY NOW!

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