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Head Data Science - Credit Risk

  • Job type: Permanent
  • Location: New York
  • Salary: US$180000 - US$181000 per year
  • Job reference: 187651/001_1541458908
  • Sector: Selby Jennings, Risk Management
  • Date posted: 05/11/2018

One of the most disruptive Consumer Lending FinTech companies is currently seeking to add a senior Data Scientist to their team that will be responsible for modeling and analytics related to Credit Risk. Ideal candidates will have experience with machine learning, predictive modeling, and past experiences developing credit risk models (PD/LGD, underwriting, scorecards). This individual will be tasked to hire and build out a team under them upon joining the firm; you will be reporting directly to C-Level management. They provide excellent work-life balance, top-notch benefits, and a collaborative environment that will allow you to experiment with new technologies and quantitative methods.

Responsibilities:

  • Develop, backtest, and implement Credit Risk models using Machine Learning methods such as PD/LGD, underwriting, and scorecards

  • Strategize with C-level management regarding business decisions derived from your analytical insights

  • Experiment with data science and machine learning technologies to develop new methodologies for modeling and analytics

  • Hire, train, and mentor a team Data Scientists that will report directly to you

Requirements:

  • Deep understanding of Machine Learning methodologies.

  • Proven experience of coding in both R and Python.

  • Experience developing financial risk models including (but not exclusive to): Scorecard modeling, underwriting, loss forecasting

  • Master's Degree or higher in a relevant field of study.

  • 5+ years of industry experience

If this sounds like an opportunity of interest, please do not hesitate to apply!

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