
Actuary- Cross Segment Portfolio Majors Casualty
- Boston, MA
- Permanent
- Full-time
- Work closely with Majors underwriting management, developing cross segment portfolio solutions to support profitability and growth goals.
- Design and implement an enhanced Majors loss monitoring and analytics framework.
- Maintain and enhance supplemental Majors pricing tools. Drive continuous improvement of processes and methodology.
- Create new tools and processes to support quarterly profit reviews, product planning and strategy evaluations, including quantification of UW strategies.
- Partner closely with the Majors segment support teams to design and develop standardized tools and exhibits.
- Collaborate with Data Solutions and NA Data Office to bring new data solutions to the team, streamline/automate processes, and optimize dashboards.
- Partner with other actuarial teams to build upon portfolio segmentation (RAMP) framework, enhancing existing framework for Majors.
- Perform analyses to assist with business evaluation, decision making and strategy development.
- Provide clear and concise communication of technical work to underwriters, business stakeholders, and senior leadership.
- Proactively identify training opportunities; create & deliver content accordingly.
- Bachelor's degree required; Master’s degree preferred.
- Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) or in Society of Actuaries (ASA/FSA) designation preferred or comparable education/designation with relevant experience.
- Minimum 5-7 years relevant experience required.
- Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc.
- Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization.
- Ability to motivate and mentor peers and motivate and train subordinates.
- Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models.
- Experience with Python or R preferred