Pricing and Systems Actuary

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Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

• Build and maintain new efficient/expansive rating systems and related models in Excel and in Python. The role includes a core programming component to build and steer models effectively.
• Build and maintain risk/simulation models to analyze and steer the business.
• Research ways to leverage industry data to enhance current rating, filings, and provide guidance to underwriting.
• Develop complex analyses of underwriting, operations, business development, product performance, and user experience.
• Assist the data science, operations, and insurance teams with ad hoc analysis, data normalization, data cleansing, and process improvement.
• Support the integration and production of new data sources to minimize development cycles while maximizing business applications.
• Continuously challenge how underwriting and operations can be improved.
• Maintain a clean production environment so data models can be interpreted and extended by other data science and engineering teammates.
• Present work, findings, and opinions to both technical and non-technical stakeholders.

• Minimum of 3 years of total work experience.
• Bachelor or Master in a quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or related field).
• ACAS or FCAS preferred (hybrid actuarial and analytics role).
• Experience and interest in data science techniques (e.g., machine learning).
• Entrepreneurial mindset and interest in building the future.
• Preferred: domain knowledge in management/professional liability.
• Ability to balance competing priorities, estimate timelines, and keep team/documentation updated.
• Experience with cloud computing and cloud databases (e.g., AWS, Snowflake).
• Passion for solving challenging mathematical problems and exploring new ML tools and technologies.
• 2+ years of Python experience.
• Strong communication skills to translate technical results into business recommendations.
• Bias toward practical action and data-driven creativity.

• Stock Options: participate in the value you create at Counterpart.
• Health, Dental, and Vision Coverage: we cover up to 100% of employee contributions and up to 80% for families.
• 401(k) Retirement Plan.
• Parental Leave: up to 12 weeks for birthing parents at 100%, with options for additional unpaid weeks; 8 weeks for non-birthing parents.
• Unlimited Vacation: flexible time off.
• Work from Anywhere: fully distributed company; occasional in-person meetups.
• Home Office Allowance: $300 to set up your home office.
• Wellness stipend: $100 per month for wellness-related purchases.
• Book stipend for relevant materials.
• Professional Development Reimbursement: up to $500 annually.
• No working birthdays: take your birthday off.
• Charitable Contribution Matching: up to $150 per year.

Estimated pay range for this role is $160,000 to $180,000. Base salary determined by market data, location, internal equity, and experience.

We are committed to an inclusive workplace where people feel respected, supported, and connected—regardless of who you are or where you come from. We are an Equal Opportunity Employer and do not discriminate against applicants or employees on the basis of protected characteristics.