Model Validation (PhD) Insurance Analytics- New York recruitment
The role of the group is to bring the development of Insurance Analytics valuation and risk models into a structured process for independent review, testing, approval and documentation. The Candidate will use best practices and advanced statistical modeling and data mining to develop GLM risk models and will manage large scale data to improve the data accuracy and decisions made from data analysis. The Candidate will have 8 or more years of relevant work experience in statistical modeling and data mining in a PC insurance context (Insurance Co or insurance consulting firm) using large and complex datasets. Experience in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components and validation are required. Programming skills should include (SAS,R, C/C++, or Python).
Keywords: Model Validation, Model Review, PhD, GLM, Data Mining, Data Scrubbing, Data Cleansing, Insurance, Data Accuracy
Refer to Job#19372- EFC and email MS Word attached resume to Jim Geiger, jeg@analyticrecruiting.com or register online at www.analyticrecruiting.com choosing Jim as your contact recruiter.