Senior Actuarial Analyst

2 days ago


New York, New York, United States The Amynta Group Full time
About the Role

We are seeking an experienced actuarial analyst to join our Advanced Analytics and Actuarial function. The ideal candidate will have a strong background in actuarial science, with expertise in pricing, reserving, and predictive modeling. The successful candidate will be responsible for building, enhancing, and leading pricing analyses and advanced analytics for our insurance and warranty businesses.

Key Responsibilities
  • Analyze warranty and MGA program profitability and present results to business leaders.
  • Lead pricing studies for new and renewal customers and programs.
  • Develop predictive models to enhance and improve client and program pricing.
  • 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 business intelligence team to build and enhance Amynta's data analytics capabilities.
  • 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.
About You
  • 3+ years of P&C actuarial experience in reserving, pricing, and/or predictive modeling.
  • Steady progress towards FCAS designation commensurate with years of actuarial work experience. ACAS or near ACAS preferred.
  • Keen 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.
Preferred Qualifications
  • 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.
  • Experience working with warranty products, workers' compensation, or commercial auto.
Travel Requirements
  • 0%-10%
Location
  • Flexible with a preference for candidates who will come into the NYC office 1-2 times per week.
  • Remote option available for candidates working in eastern or central time zone.


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