Actuarial Jobs, Actuarial Positions, and Actuarial Employment
Actuarial Jobs, Actuarial Positions, and Actuarial Employment
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Job ID: 32223
Job Openings by Title Modeler / Sr. Modeler
Location California, United States
Position:		 	Modeler / Sr. Modeler
Company:			Software Organization

Location:			California

Job ID:			32223


-Researching and mining socio-economic and engineering information related to insured properties and other assets in various countries around the world.
-Developing, evaluating, and implementing methodologies and solutions for property valuation and human exposure.
-Evaluating the insurance policy language in the P&C industry in various countries and translating those details to implementable assumptions.
-Developing insured value estimates, localized deductibles and limits, and similar data at different geographic resolutions such as Post Code, County, CRESTAs, District, and State.
-Executing analytics of the Exposure Data provided by our clients, and benchmarking data products against such data.


-MS or PhD degree in an engineering or science related field, including but not limited to: Civil and Structural Engineering, Urban Planning and GIS, Financial Engineering, Operations Research, Industrial Engineering, Applied Math, Econometrics, Actuarial, Science, and Statistics.  PhD degree preferred.
-Minimum 3 to 5 years of experience in the related industry. More than 5 years of analytical or quantitative modeling in the insurance or a related industry is preferred.
-High level of proficiency in data analysis and data manipulation software tools (including SQL, Excel, Access, and VBA).
-Knowledge of GIS preferred, including experience with ArcGIS and QGIS.
-Proficient programming skills in Python, R, or similar.
-Experience in one or more of the following is desired: data mining, developing analytical models, developing data products, underwriting, claims handling, or Actuarial Analysis.
-Proven record of developing analytical models is needed.
-Excellent written and verbal communication skills, as evidenced by technical presentations at meetings and conferences.
-Detail-oriented, ability to learn quickly, very strong analytical and organizational skills, and a high degree of self-motivation. 
-Project management experience, and the ability to work collaboratively with a team of colleagues across several groups and offices.
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