Analyze warranty and MGA program profitability and present results to business leaders
Lead pricing studies for new and renewal customers and programs
Support internal financial statement development around loss sensitive elements of the business
Work with the Acquisitions team to perform actuarial due diligence of potential acquisition targets
Work closely with the Enterprise Data team to build and enhance Amynta’s data analytics capabilities
Develop predictive models to enhance and improve client and program pricing
Set up and maintain best practices within the advanced analytics and actuarial group as well as with technology team partners
Streamline processes and encourage efficiency so that the team can focus its energy on projects that add value to the Amynta organization
Train, mentor and review analyses completed by colleagues
Requirements
5-10 years of P&C actuarial experience in reserving, pricing and/or predictive modeling
ACAS Required up to FCAS
Demonstrates exceptional attention to detail
Ability to handle multiple tasks under tight deadlines
The ability to self-start, work independently and drive projects forward in a fast-paced environment
Excellent communication (written and verbal), analytical and interpersonal skills
Advanced Excel user
Experienced SQL user able to independently query and manipulate large data sets to develop business-relevant observations and conclusions and to support decision-making
Programming skills – R, Python, SAS or other predictive modeling platforms
Experience independently building and interpreting results of Generalized Linear Models (GLMs) is preferred although not required
Tech Stack
Python
SQL
Benefits
18 days of paid time off per year
11 paid holidays
Health, dental and vision insurance plan
Short-term disability insurance
Long-term disability insurance
Basic term life and accidental death and dismemberment insurance