Pricing and Systems Actuary

2 months, 3 weeks ago
Mid Level
Data Science and Analytics
Counterpart

Counterpart

Counterpart specializes in providing innovative management and professional liability insurance solutions tailored for the modern workplace, including coverage for directors and officers, employment practices, and various professional liabilities.

Insurance
11-50
Founded 2019
$40M raised

Description

  • Build and maintain rating systems and related models in Python and Excel.
  • Build and maintain risk and simulation models to analyze and steer the business.
  • Research and apply industry data to improve rating, admitted filings, and underwriting guidance.
  • Develop complex analyses across underwriting, operations, business development, product performance, and user experience.
  • Support data science, operations, and insurance teams with ad hoc analysis, data normalization, data cleansing, and process improvement.
  • Help integrate and productionize new data sources while minimizing development cycles and maximizing business applications.
  • Continuously identify opportunities to improve underwriting and operations.
  • Maintain a clean production environment so models are interpretable and extensible by other team members.
  • Present findings and recommendations to technical and non-technical stakeholders.
  • Contribute to team culture, rituals, and processes that support high performance.

Requirements

  • Minimum of 3 years of total work experience, including P&C insurance experience.
  • 2+ years of Python experience.
  • Bachelor’s or Master’s degree in a quantitative discipline such as computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or a related field.
  • Strongly preferred: ACAS or FCAS designation.
  • Passion for solving challenging mathematical problems and exploring new machine learning tools and technologies.
  • Entrepreneurial mindset with a bias for action over perfection.
  • Preferred domain knowledge in management or professional liability.
  • Ability to balance competing priorities, estimate timelines, and keep documentation updated.
  • Experience with modern cloud computing and cloud databases such as AWS and Snowflake.
  • Strong communication skills for translating technical or statistical analysis into business recommendations.

Benefits

  • Estimated base salary range of $165,000 to $190,000.
  • Welcoming and inclusive workplace.
  • Commitment to employees feeling respected, supported, and connected at work.
  • Equal opportunity employment policies and non-discrimination protections.

Interested in this position?

Apply directly on the company website

Apply Now

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