Jobs: Non-Traditional

Non-Traditional Jobs – April 10, 2020
Predictive Modeling, Data Science and Catastrophe Risk Modeling

Please check the jobs you are interested in and fill in the brief form below.
87811 – Illinois – Lead Data Scientist

Lead Data Scientist sought in Chicago. 80% travel, you will travel every week for this role. Up to $200k. Manage staff. Must be an R expert.

87042 – Florida – Catastrophe Risk Modeler

Catastrophe risk modeler with Spanish-speaking skills needed in Florida. 70K-90K compensation. RMS software experience required. Python or R or SQL programming skills are a definite plus.

87267 – Virginia – Catastrophe Model Developer

Catastrophe model developer sought by Virginia organization. Ph.D. or M.S. with 5+ years of experience with cat models is preferred. AIR or RMS software experience required.

87320 – Colorado – Catastrophe Risk Modeling Analyst

Catastrophe Risk Modeling Analyst needed in Colorado. Must have 3+ years of catastrophe modeling experience. Requires RMS software experience. Immediate need.

86338 – Massachusetts – Property Casualty Ins. Predictive Modeler

Property and casualty predictive modeler is sought by a Boston client. Requires 1 to 3 years of property and casualty insurance predictive modeling experience.

86406 – California – Property Casualty Ins. Data Scientist

Insurance Data Scientist sought by San Francisco Insurer. Hands-on role. Prior experience building complex models is required. You must be a Python and SAS expert. You must have strong skills with generalized linear modeling and machine learning. $175K-$300K compensation package.

86071 – Ohio – Catastrophe Modeler and Risk Analytics Pro

Ohio insurer plans to hire a Catastrophe Modeler and Risk Analytics Professional. Must have 5+ years of catastrophe modeling experience. RMS or AIR software experience required. SQL Programming Skills Preferred.

84814 – Northeast – Insurance Data Scientist

Property and Casualty Insurance Data Scientist sought in Florida. Ideal candidates will have at least five years of property and casualty statistical modeling and predictive analytics experience. May be a PhD or M.S. or Senior Actuarial Analyst.

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