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Key job responsibilities- Develop pricing mechanisms for new and existing insurance programs utilizing actuarial skills and training in innovative ways- Design actual vs expected and other metrics dashboards to assist decision makings in pricing analysis
- Create processes to monitor loss cost and trends- Advise underwriting decisions with analysis on driver risk profile
- Support insurance cost budgeting activities- Conduct other ad hoc pricing analyses and risk modeling as neededA day in the life
On any given day, we could be working on the following:- Working with risk managers and brokers to determine optimal renewal strategy
- Building processes to monitor program health and trends
- Creating, validating, and testing actuarial models used in pricing, underwriting, and retention strategy
- Establishing data pipelines for new and existing data
- Bachelor's degree
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of proven, technical experience in Insurance Actuarial (P&C or Health/Benefits)
- Associate of the Casualty Actuarial Society
- Prior experience in commercial lines of business
- Prior experience in non-traditional actuarial roles (e.g. ridesharing, InsurTech) and/or a range of traditional roles (e.g. pricing, reserving, modeling, ERM)
- Excellent at explaining actuarial concepts to non-insurance stakeholders
- Comfortable leading complex projects with cross-departmental resources and solving open-ended business problems with innovation
- Experience building new and unique insurance products
- Balance attention to detail with swift execution
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