Predictive Analytics Manager

Analytics EngineerAnalytics EngineerFull TimeRemote

Location

United States

Posted

52 days ago

Salary

Not specified

PythonSQLGlmsGbmsDecision TreesClusteringRandom ForestsNeural NetworksMachine LearningStatistical ModelingPredictive Modeling

Job Description

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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