Senior Portfolio Actuary: Pricing & Analytics

Acrisure; Minnesota; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

Acrisure is seeking an actuary to join its Underwriting analytics team in Minnesota. This role focuses on building pricing models, optimizing methodologies, and delivering data-driven insights to carrier partners and reinsurers.

You will work closely with underwriters, software and data engineers, and program teams to shape pricing strategies and product design, leveraging Python, SQL, and Excel to drive automation and profitability.

Qualifications

• FCAS/ACAS credential with ~5-10 years of P&C pricing experience.
• Solid track record in actuarial pricing, indications, and data analysis.
• Hands-on proficiency in Python and SQL for modeling and automation.
• Advanced Excel skills to complement your coding toolkit.
• Excellent communicator—distilling complex analyses into clear business insights.

Responsibilities

• Build and maintain actuarial pricing models and indicate pricing.
• Refine pricing methodologies to improve profitability and competitiveness.
• Leverage Python, SQL, and advanced Excel to streamline processes and automate tasks.
• Work with large datasets to identify trends, exposures, and opportunities.
• Collaborate with underwriters, program managers, and reinsurers to translate analyses into business recommendations.
• Create dashboards and presentations to tell data-driven stories to stakeholders.
• Identify and implement efficiency gains across actuarial workflows.

Skills

Python

SQL

Advanced Excel

Job description

Acrisure is seeking an actuary to join its Underwriting analytics team in Minnesota. This role focuses on building pricing models, optimizing methodologies, and delivering data-driven insights to carrier partners and reinsurers.

You will work closely with underwriters, software and data engineers, and program teams to shape pricing strategies and product design, leveraging Python, SQL, and Excel to drive automation and profitability.