Jobs: Non-Traditional

Non-Traditional Jobs – January 19, 2017
Predictive Modeling, Data Science and Catastrophe Risk Modeling
Please check the jobs you are interested in and fill in the brief form below.
74661 – California – Catastrophe Modeling Analyst

Los Angeles client seeks a catastrophe modeling analyst. Requires at least one year of AIR or RMS software experience. SQL programming skills are also required. Compensation up to $80K.

74498 – New York – Catastrophe Risk Modeler

New York reinsurer seeks a catastrophe risk modeler. Requires AIR software experience. Must have at least three years of catastrophe modeling experience. Compensation up to $110K.

74661C – Illinois – Catastrophe Risk Modeler

Chicago-area insurer is searching for a catastrophe risk modeler. Compensation up to $85,000. SQL programming skills are required. RMS or AIR catastrophe modeling software experience of at least one year is preferred.

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.

74661X – Georgia – Catastrophe Modeling Professional

Atlanta client has an immediate need for a catastrophe modeling professional. Requires some experience with RMS or AIR software. SQL database programming skills are a must. Compensation up to $83,000 for this catastrophe risk modeler.

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.

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.

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.

Check this box to discuss with Ezra Penland Actuarial Recruitment other roles for which you may be suitable.
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