Jobs: Non-Traditional

Non-Traditional Jobs – December 9, 2016
Predictive Modeling, Data Science and Catastrophe Risk Modeling
Please check the jobs you are interested in and fill in the brief form below.
74151 – New Jersey – Insurance Director of Analytics

New Jersey client seeks a Property and Casualty Insurance Director of Analytics. Ph.D.-level opportunity. Manage staff of insurance data scientists. Apply predictive modeling concepts to marketing, claims analytics, reserve analysis and pricing. Compensation up to $230K.

73885 – California – Insurance Data Scientist

Los Angeles client seeks an insurance data scientist with at least five years of modeling experience. Ph.D. or M.S. degree ideal. Must have experience with machine learning, predictive analytics and natural language processing. Requires Python and SAS/R programming skills. SQL and NoSQL experience preferred.

73897 – Connecticut – Health Data Predictive Modeler

Predictive modeling analyst is needed by a healthcare analytics firm in Connecticut. Requires at least one year of experience with modeling large data sets with SQL and SAS/R programming languages. Experience with predictive analytics is required.

73697 – Wisconsin – Machine Learning Insurance Data Scientist

Machine learning insurance data scientist is needed by a Wisconsin property and casualty insurer. This Ph.D. or M.S. or ACAS actuary or FCAS actuary will work on insurance model development, statistical research, model management, property and casualty insurance research and other assignments.$110K to $175K compensation.

73456 – California – Catastrophe Model Developer or Modeler

California client seeks a catastrophe risk model developer or modeler. Requires 1 to 5 years of experience. Compensation up to $100K. B.A. or B.S. or M.S. or Ph.D. degree preferred.

73614 – Northeast USA – Insurance Data Scientist

Northeast USA life insurance company seeks an insurance data scientist. This insurance data scientist at the Ph.D. or M.S.-level, or even the ACAS/FCAS or ASA/FSA actuary level, must have predictive modeling experience with health insurance data or property and casualty insurance data. Python or Hadoop or SAS or R programming skills ideal. Company has ambitious plans.

73457 – California – Catastrophe Modeler or Developer

California client seeks a catastrophe risk modeler or developer. Requires 1 to 15 years of experience. Compensation up to $160K. Be a part of very unique applications of catastrophe modeling concepts to new markets. BA or BS or MS or PhD degree ideal.

73023 – California – Insurance Data Scientist

Property and casualty insurance data scientist at the Ph.D. or M.S.-level is sought by our California client. Compensation up to $150K. Python or R programming skills ideal. ArcGIS skills preferred. Work closely with catastrophe risk modelers, data modelers and other professionals. Experience in underwriting or predictive modeling or actuarial science or model development or claims handling a definite plus.

72445 – Connecticut – Personal Lines Data Scientist

Personal lines insurance data scientist is sought by a Connecticut insurer. Ph.D. or M.S. or ACAS or FCAS preferred. Predictive modeling expertise applied to property and casualty insurance data ideal. Some pricing and product development experience a plus.

71758 – Tennessee – Insurance Data Scientist

Property and casualty insurance data scientist is needed by a Tennessee company. Ideal candidates will have SAS/R programming skills and predictive modeling experience.

72893 – California – Insurance Predictive Modeler

Property and casualty insurance predictive modeler is immediately sought by our Southern California client. Must have at least 7 years of statistical data modeling experience with insurance data. Hadoop and SAS/R programming skills ideal.

72340W – Midwest USA – Insurance Data Guru

Midwest USA office seeks a property and casualty insurance data scientist. 3 to 11 years of statistical analysis and predictive modeling experience required. Ph.D. or Master’s degree ideal. R or SAS programming skills preferred.

72344 – Northeast USA – Insurance Analytics, Ph.D.

Northeast USA client has asked Ezra Penland to find a Vice President in charge of property and casualty insurance analytics. Ph.D. with management experience, and 9.5+ years property and casualty statistical analysis and predictive modeling experience is ideal. Candidates with an understanding of Bayesian Inference, Hierarchical Clustering, Boosted Regression Trees and Logistic Regression are preferred.

72340K – Minnesota – Insurance Data Scientist

Property and casualty insurance data scientist is immediately sought in Minnesota. Ph.D. or M.S. degree preferred. Requires at least three years of property and casualty predictive modeling, statistical analysis and programming experience. Leadership role.

71574 – Georgia – Catastrophe Risk Modeler

Georgia client seeks a senior catastrophe risk and financial modeler. Requires 6+ years of experience. Requires a strong understanding of insurance and financial terminology. Work closely with underwriters and also on capital modeling. Compensation up to $140K.

72002 – Northeast USA – Catastrophe Risk Modeling Consultant

Northeast USA broker is searching for a catastrophe risk modeling consultant. Some travel to clients. AIR and RMS software skills required. Requires at least five years of experience. Your communications skills must be exceptional.

71717 – Georgia – Senior Catastrophe Risk Modeler

Senior catastrophe risk modeler is immediately sought in Atlanta, Georgia. Requires 3 to 15 years of catastrophe modeling experience. Client is looking for outstanding communications skills.

80089 – Illinois – Health Data Scientist

Chicago insurer is searching for a health data scientist with excellent analytical skills. Client will consider Ph.D and Master’s degree-holders. Must have at least two years of experience with advanced statistical analysis of healthcare data. Firm is growing this analytics department and has big plans.

80087 – Missouri – Health Data Scientist

Ph.D. or Master’s degree-holder is sought by a St. Louis health insurer. Must have at least eight years of advanced statistical analysis experience with health data. Predictive analytics experience ideal. Client seeks to fill this data scientist role ASAP.

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