Job description
Harborcrest Actuarial Partners is seeking a talented actuarial professional to join our Boston team as a Senior Actuarial Analyst. This role focuses on building robust models that drive pricing, reserving, and risk assessment for our diverse portfolio of life and property & casualty products.
You will collaborate with underwriting, finance, and data science teams to translate complex business requirements into scalable, auditable models and actionable insights. We offer a collaborative, growth-oriented environment with competitive compensation, comprehensive benefits, and a clear path for professional development.
Responsibility
- Develop and maintain actuarial models for pricing, reserving, experience studies, and risk assessment across product lines.
- Collaborate with underwriting, finance, and data analytics teams to translate business needs into quantitative solutions.
- Conduct experience studies, trend analysis, and scenario testing to inform pricing and forecasting.
- Prepare and present actuarial analyses and reports for management, regulators, and external stakeholders.
- Monitor model performance, perform validation, QA, and governance to ensure model risk controls.
- Support regulatory reporting, financial forecasting, and capital adequacy analyses.
- Mentor junior analysts and contribute to the actuarial governance framework.
- Document methodologies, assumptions, and data lineage to ensure transparency and auditability.
Qualification
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field; progress toward ASA/ACAS or equivalent.
- 2-6 years of actuarial experience in life, health, or P&C insurance; strong emphasis on modeling and analytics.
- Proficiency in R and Python; strong SQL skills; experience with Excel and data visualization.
- Experience with actuarial software (e.g., Prophet/Moses) and modern data tools.
- Strong communication skills and ability to convey complex analyses to non-technical stakeholders.
- Ability to work cross-functionally in a fast-paced environment, with attention to data governance and model risk management.
- Demonstrated problem-solving, project management, and organizational skills.