Jobs: Non-Traditional

Non-Traditional Jobs – March 18, 2017
Predictive Modeling, Data Science and Catastrophe Risk Modeling
Please check the jobs you are interested in and fill in the brief form below.
75498 – Illinois – Catastrophe Risk Modeler

Our Chicago client has an immediate need for a catastrophe risk analyst. Requires at least one year of AIR software experience. This prominent company anticipates business growth.

75345 – Illinois – Catastrophe Risk Modeling Analyst

Catastrophe risk modeling analyst is immediately sought by our Chicago client. Must have at least two years of experience with catastrophe modeling software. RMS and AIR software experience ideal. SQL programming skills a definite plus. Compensation up to $90K.

75309 – Minnesota – Senior Cat Risk Modeler and Risk Manager

Minnesota client has an immediate need for a senior catastrophe risk modeler and risk manager. Must have at least seven years of catastrophe risk modeling experience. This is a client-facing role for an exceptional risk professional.

75037 – New York – Data Scientist

New York client seeks an Insurance Data Scientist / Predictive Modeler up to $160K. Ph.D. or M.S. or ASA or ACAS or FSA or FCAS credentials preferred. Must have at least four years of insurance data modeling experience, including cluster analysis, validation, transformation, tree models and survival analysis. Python, SQL, Hadoop, SAS and R programming skills ideal. Tinkerers especially sought.

75254 – Bermuda – Catastrophe Risk Modeler

Bermuda client seeks a catastrophe risk modeler. Must have at least three years of cat risk modeling and analysis experience. RMS software and SQL programming skills ideal. May work closely with actuaries, brokers, underwriters and regulators. Outstanding communications skills are required.

75036 – Northeast USA – Life Insurance Predictive Modeler

Northeast USA life insurer is searching for a senior insurance predictive modeler. Compensation up to $140K. Must have at least three years of experience with advanced statistical analysis of insurance claims data (life or health or property and casualty). Ph.D. or M.S. degree preferred. Intellectual curiosity is strongly required.

74736 – Texas – Lead Predictive Modeler

San Antonio, Texas client seeks a lead predictive modeler. Requires at least five years of property and casualty insurance predictive modeling experience. Python and SAS/R programming skills required. Ph.D. or M.S. or actuary preferred.

74851 – California – Insurance Predictive Modeler

California insurer seeks a property and casualty insurance predictive modeler at the Ph.D. or M.S. level. Must have experience with advanced statistical analysis of insurance claims data, preferably property and casualty insurance data. Client prefers this data scientist to have 8 to 15 years of experience, approximately. Management experience a plus.

74769 – Pennsylvania – Catastrophe Risk Modeling Analyst

Philadelphia client is searching for a catastrophe risk modeling analyst. Must have 2 to 7 years of catastrophe modeler experience. SQL and VBA programming skills preferred. RMS or AIR or EQECAT software skills ideal.

74369 – California – Insurance Client Management

Commercial lines underwriter or reinsurance underwriter or broker or enterprise risk management consultant sought by our Los Angeles client. Requires 4 to 15 years of industry experience. This is a unique client management and client development role with a very specialized, growing, niche company. Role open due to anticipated revenue growth and company growth.

74475 – North Carolina – Senior Insurance Data Scientist

Requires predictive modeling skills and R or SAS programming experience. Ph.D. or M.S. or FCAS actuary or ACAS actuary or senior actuarial analyst needed. Commercial lines insurance experience a definite plus. Organization prefers at least 7 years of business experience.

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.

74474 – Connecticut – Insurance Predictive Modeler

Experienced property and casualty insurance predictive modeler is sought by our Connecticut client. This unique data science role requires SAS or R programming skills. Commercial lines insurance experience preferred. Requires at least seven years of advanced statistical analysis experience. ACAS actuary or FCAS actuary or Senior Actuarial Analyst or M.S. or Ph.D. ideal.

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.

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.

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.

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