Middle Market Pricing Actuary

Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.

Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.

We are seeking a technically strong and self-directed Senior Actuary to support pricing and modeling initiatives for our middle market portfolio, which includes Casualty (GL, WC, Commercial Auto, Excess Casualty), Property, FLPL lines, and Programs. This role requires deep expertise in actuarial modeling, data analytics, and insurance pricing, with the ability to independently execute complex actuarial work. Strong planning and communication skills are a must, enabling effective collaboration across teams. This position reports to the Head of Middle Market Pricing Actuary.

Key Responsibilities:

• Drive pricing sophistication by designing and implementing predictive models and pricing frameworks for Commercial Lines.
• Develop processes and implement portfolio management tools and pricing studies.
• Apply advanced statistical and actuarial techniques to evaluate profitability, trends, and risk.
• Collaborate with underwriting, claims, IT, and operations teams to support business objectives.
• Contribute to innovation in pricing tools, methodologies, and data usage.
• Mentor junior analysts and promote a culture of technical excellence.
• Communicate findings clearly to stakeholders; the ability to translate complex data into actionable insights is a plus.

Qualifications:

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related field.
• ACAS or FCAS designation preferred; near-ACAS candidates will be considered.
• 7+ years of experience in property and casualty Commercial Lines insurance, with significant experience in predictive modeling and pricing. Reserving experience is a plus.
• Strong knowledge of GL, WC, Commercial Auto, and Excess Casualty. Property and CAT modeling experience is a plus.
• Proficiency in actuarial tools and programming languages (R and/or Python, SQL).
• Experience with ISO rating plans and state filing processes.
• Solid understanding of data architecture, insurance regulations, and risk management.
• Proven ability to manage multiple priorities and deliver high-quality work independently.
• Familiarity with cloud-based analytics platforms is a plus. Experience with Machine Learning and or Predictive Modeling

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.