Pricing and Systems Actuary

Counterpart

Completely RemoteFull TimeFinance & Banking
Posted Today

Job description

Responsibilities

  • Build and maintain efficient rating systems and models in Python and Excel
  • Build and maintain risk and simulation models to analyze and steer the business
  • Research industry data to enhance rating, filings, and underwriting guidance
  • Develop complex analyses of underwriting, operations, and product performance
  • Assist data science and insurance teams with ad hoc analysis and data cleansing
  • Support the integration of new data sources to maximize business applications
  • Maintain a clean production environment for data models
  • Present findings and opinions to technical and non-technical stakeholders

Requirements

  • Minimum 3 years of work experience including P&C insurance
  • 2+ years of experience with Python
  • Bachelor's or Master's degree in a quantitative discipline (e.g., Actuarial Science, Math, Statistics, CS)
  • Experience with modern cloud computing and databases (AWS, Snowflake)
  • Strong communication skills for translating technical results into business recommendations

Preferred Qualifications

  • ACAS or FCAS designation
  • Domain knowledge in management or professional liability

About the Company

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace through its Agentic Insurance™ system, combining advanced AI with deep insurance expertise.

Skills & tools

PythonActuarial ScienceAWS

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 013+ years P&C insurance experience
  2. 022+ years Python experience
  3. 03Quantitative degree
  4. 04Cloud computing experience
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