Counterpart is an insurtech platform aiming to reimagine management and professional liability insurance for the modern workplace. The company seeks to build an Agentic Insurance™ system that uses advanced AI and deep insurance expertise to proactively assess, mitigate, and manage risk. The business problem involves bridging traditional actuarial methods with modern data science techniques to enhance risk modeling, pricing, and underwriting for small businesses.
Requirements
- Minimum of 3 years of total work experience
- Bachelor/Master in a quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or related field)
- Preferred but not required: ACAS, FCAS (this is a hybrid actuarial and analytics role)
- Experience and interest in data science techniques (e.g. Machine Learning)
- Preferred: domain knowledge in management/professional liability
- Experience and excitement using modern cloud computing and cloud databases (i.e. AWS, Snowflake, etc.)
- 2+ years experience with Python
Responsibilities
- Build and maintain new efficient/expansive rating systems and related models in Excel and in Python. There is a core programming component to this role that allows us to build and steer effectively
- 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
- 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 in a manner that minimizes development cycles while maximizing potential business applications
- 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
Other
- An entrepreneurial mindset, interested in building the future
- Ability to balance competing priorities and focus on key initiatives, by estimating timelines and keeping team/documentation updated with the status of projects
- Communications skills for translating technical or statistical analysis results into business recommendations
- Bias to practical action and creativity using data (we value past or present projects that support this)
- Work from Anywhere: Counterpart is a fully distributed company, meaning there is no office
