Build and maintain new efficient/expansive rating systems and related models in Python and in Excel. Building a system ultimately allows the team to help steer the portfolio more 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
Continuously 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.

Minimum of 3 years of total work experience, including P&C insurance.
Strongly preferred but not required: ACAS, FCAS (this 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
Ability to balance competing priorities and focus on key initiatives, by estimating timelines and keeping team/documentation updated with the status of projects
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.

Pricing and Systems Actuary

Key skills