Assist with ratemaking and loss reserving projects for a variety of personal and commercial lines of business
Assist with additional actuarial projects which may include predictive modelling for rating insurance coverages and claims estimation
Compile and verify client data
Setup spreadsheet analysis, templates, and exhibits by working on claims databases
Build Machine Learning algorithms using R and Python
Apply complex actuarial theories and principles to create statistical models
Prepare production exhibits and written reports to present findings
Essential
3-4 years experience in property and casualty risk modelling / pricing and reserving
R, SAS, SQL, or VBA experience
Job Classification
Industry: InsuranceFunctional Area: Financial Services, Banking, Investments, Insurance, Role Category: General InsuranceRole: General InsuranceEmployement Type: Full time
Education
Under Graduation: Any Graduate in Any SpecializationPost Graduation: Any Postgraduate in Any SpecializationDoctorate: Doctorate Not Required, Any Doctorate in Any Specialization