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GAINSCO is a property and casualty insurance company specializing in the personal auto insurance market, offering a range of personal auto insurance policies tailored to the needs
Predictive Analytics Manager
Location
United States
Posted
140 days ago
Salary
0
Seniority
Lead
Job Description
Predictive Analytics Manager
GAINSCO
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description GAINSCO is seeking a Predictive Analytics Manager to lead the development of advanced models that inform pricing, underwriting, and strategic growth. This role blends technical expertise with business acumen, supporting cross-functional teams and regulatory compliance in a dynamic insurance environment. - 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. Qualifications - 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. Requirements - 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. Benefits - Excellent benefits package including medical & dental, vision insurance, life insurance, short-term and long-term disability insurance. - Parental Leave Policy. - 401K + Company Match. - PTO Plan + Paid Company determined Holidays.
Job 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.
Benefits
- Excellent benefits package including medical & dental, vision insurance, life insurance, short-term and long-term disability insurance.
- Parental Leave Policy.
- 401K + Company Match.
- PTO Plan + Paid Company determined Holidays.
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