Key skills
PythonSQLMachine LearningAnalyticsLeadershipRisk ManagementProduct Management
About this role
GAINSCO is a company that values driven and determined individuals, celebrating achievement and fostering innovation. They are seeking a Predictive Analytics Manager to lead the development of advanced models for pricing, underwriting, and strategic growth in the personal auto insurance sector, blending technical expertise with business acumen.
Responsibilities:
- Build predictive models for loss cost, retention, lifetime value, and more using internal and external data
- Apply advanced statistical and machine learning techniques (GLMs, GBMs, decision trees, clustering, random forests)
- Present insights and recommendations to senior leadership and business stakeholders in a clear, actionable format
- Monitor model performance and implement iterative improvements
- Create documentation for regulatory filings and respond to Insurance Department inquiries
- Collaborate with Product, Actuarial, and Claims teams to align analytics with business goals
Requirements:
- Bachelor's degree required, preferably in Mathematics, Actuarial Science, Risk Management, Economics, Computer Science, Information Management, or Statistics
- 8 or more years of experience in insurance product development, actuarial, or product management within the personal auto insurance industry required
- 5 or more years' progressive data science experience in designing, developing, evaluating, and deploying predictive modeling, machine learning and advanced analytics required
- Experience with structured and unstructured data analysis is required
- Proficiency with Python and SQL required
- Understanding of statistical and predictive modeling techniques such as GLMs, machine learning, decision trees, clustering, forests, and neural networks and their application to business decisions
- Proven skills as a business consultant who uses modeling skills to answer business questions and drive profitable growth
- Ability to convey complex topics and results to non-technical audiences
- Ability to adapt quickly to changing timelines