Essent Group

Position Title/Short Description

Full Text of JOE Listing:

Essent is seeking a talented PhD to develop predictive statistical, economic, and financial models for consumer finance and mortgage risk assessment. The position is responsible for estimating and implementing default, prepayment, loss severity, home price, and cashflow models leveraging both traditional and alternative data and technologies (e.g. credit bureau, alternative data, big data, AI, machine learning).

Requirements:
On track for a PhD in finance, economics, statistics, or other quantitative discipline
Demonstrate knowledge of predictive statistical, economic, and financial modeling.
Programming skills in languages for data manipulation and statistical analysis (Python, R, SQL, MATLAB, SAS).
Ability to deliver business-oriented communications for technical and non-technical audiences.

Preferred:
An understanding of real estate and the US mortgage industry and familiarity with mortgage default and prepayment modeling.
Experience with Machine learning/AI.

Essent Group (NYSE: ESNT) is a private mortgage insurer approved by Fannie Mae and Freddie Mac and licensed nationwide. We offer private mortgage insurance for single-family mortgages in the United States, providing capital to mitigate mortgage risk for lenders and investors. The modeling team at Essent consists of a group of PhD from top universities across the United States who collaborate with leading industry experts to research and solve complex business problems.