Counterpart is hiring a
Data Science Actuary

Summary

The job is for a Data Science Actuary at Counterpart, a company that empowers small businesses with AI-driven management and professional liability underwriting services. The role involves bridging the gap between the Data & Insurance teams using actuarial techniques and new techniques such as machine learning and programming.

Requirements

• Minimum of 3 years of total work experience
• Bachelor/Master in quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering or related field)

Responsibilities

• Build and maintain new efficient/expansive rating systems and related models in Excel and Python
• 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 to 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

Preferred Qualifications

• ACAS, FCAS
• Experience and interest with data scientist techniques (e.g. Machine Learning)
• An entrepreneurial mindset, interested in building the future
• 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 status of projects
• Experience and excitement using modern cloud computing and cloud databases (i.e. AWS, Snowflake etc.)
• A passion for solving challenging mathematical problems and an interest in exploring new machine learning tools and technologies
• 2+ years experience with Python
• 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)