Pricing and Systems Actuary
About the role
Counterpart is an insurtech platform that reimagines management and professional liability for the modern workplace. We build the first Agentic Insurance™ system, combining advanced AI and deep insurance expertise 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.
Responsibilities
- Build and maintain new efficient/expansive rating systems and related models in Python and in Excel.
- Build and maintain risk/simulation models to help analyze and steer the business.
- Research ways to leverage industry data to enhance current rating, new/current admitted filings, and provide guidance to underwriting.
- Develop complex analyses of our underwriting, operations, business development, product performance, and user experience.
- Aid the Data & Insurance teams with ad hoc analysis, data normalization, data cleansing, and process improvement.
- Support the integration and production of new data sources in a manner that minimizes development cycles while maximizing potential business applications.
- Challenge how we can improve our underwriting and operations.
- Maintain a clean production environment such that the data models can be easily interpreted and built upon by other data science and engineering team members.
- Present your work, findings, and opinions to both technical and non-technical stakeholders.
Requirements
- Minimum of 3 years of total work experience, including P&C insurance.
- Strongly preferred but not required: ACAS, FCAS (this is a hybrid actuarial and analytics role).
- 2+ years experience with Python.
- Bachelor/Master in a quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or related field).
- A passion for solving challenging mathematical problems and an interest in exploring new machine learning tools and technologies.
- An entrepreneurial mindset with a bias for action over perfection, and are interested in building the future.
- Preferred: domain knowledge in management/professional liability.
- Experience and excitement using modern cloud computing and cloud databases (i.e. AWS, Snowflake, etc.).
- Communications skills for translating technical or statistical analysis results into business recommendations.
Qualifications
- Minimum of 3 years of total work experience, including P&C insurance.
- Strongly preferred but not required: ACAS, FCAS (this is a hybrid actuarial and analytics role).
- 2+ years experience with Python.
- Bachelor/Master in a quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or related field).
- A passion for solving challenging mathematical problems and an interest in exploring new machine learning tools and technologies.
- An entrepreneurial mindset with a bias for action over perfection, and are interested in building the future.
- Preferred: domain knowledge in management/professional liability.
- Experience and excitement using modern cloud computing and cloud databases (i.e. AWS, Snowflake, etc.).
- Communications skills for translating technical or statistical analysis results into business recommendations.
Skills
- Python
- Excel
- Machine Learning
- Data Science
- Actuarial Techniques
- Data Modeling
- Cloud Computing
- Cloud Databases
- Communication Skills
Benefits
We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. We are an Equal Opportunity Employer.
Pay
Our estimated pay range for this role is $165,000 to $190,000. Base salary is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.
Schedule
N/A