Director, Decision Science Analytics P&C Pricing Modernization
About the position
Responsibilities
• Lead or collaborate with analytical leaders to implement the strategic direction of the business using mathematical and statistical techniques.
• Develop the team's reputation as highly skilled experts in decision science support.
• Oversee and coordinate analytical tasks including evaluation of business problems, analytical methodology, validation, documentation, and presentation of findings.
• Monitor and adopt emerging technology that can affect scientific methodologies and quantitative analytical approaches.
• Identify additional resource needs and provide business rationale for those needs.
• Understand the business direction and strategies to set the analytic direction and influence business change.
• Build and coordinate a team through recruiting, development, retention, coaching, and performance management.
• Serve as a mentor for mathematical skills and statistical techniques to drive fact-based decision-making.
• Maintain knowledge of data analysis tools and relevant industry data & methods.
• Research and pursue industry-leading practices in data and analytics to advance the DSA community knowledge.
• Work with IT/CTO partners to advance new data and platforms corresponding to evolving skill sets.
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled.
Requirements
• Bachelor's degree in a quantitative analytics field or 4 years of related experience in statistics, mathematics, or quantitative analytics may substitute for a degree.
• 8 years of experience in a decision support analytic function or an advanced degree with 6 years of experience in a decision support analytic function.
• 3 years of direct team lead or management experience.
• Expert skills in mathematical and statistical techniques to influence business strategy with fact-based decision-making.
• Modern knowledge of data analysis tools, data visualization, and developing analysis queries in SQL, SAS, BI tools, or other analysis software.
• Experience with new and emerging data sets and incorporation into new insights.
Nice-to-haves
• Personal Home or Auto experience.
• Experience building or leading the development of acquisition and retention demand models, loss models, and lifetime value models.
• Experience implementing these models for forecasting, pricing, and underwriting use cases.
• Experience with technologies such as Sagemaker, H2O, Python, ONNX, Earnix.
• Experience leading projects or managing teams in a matrixed, agile environment.
• Demonstrated ability to re-engineer processes for efficiency gains.
Benefits
• Comprehensive medical, dental, and vision plans.
• 401(k) and pension plans.
• Life insurance and parental benefits.
• Adoption assistance.
• Paid time off program with paid holidays plus 16 paid volunteer hours.
• Various wellness programs.
• Career path planning and continuing education assistance.
Apply Now
Apply Now
Responsibilities
• Lead or collaborate with analytical leaders to implement the strategic direction of the business using mathematical and statistical techniques.
• Develop the team's reputation as highly skilled experts in decision science support.
• Oversee and coordinate analytical tasks including evaluation of business problems, analytical methodology, validation, documentation, and presentation of findings.
• Monitor and adopt emerging technology that can affect scientific methodologies and quantitative analytical approaches.
• Identify additional resource needs and provide business rationale for those needs.
• Understand the business direction and strategies to set the analytic direction and influence business change.
• Build and coordinate a team through recruiting, development, retention, coaching, and performance management.
• Serve as a mentor for mathematical skills and statistical techniques to drive fact-based decision-making.
• Maintain knowledge of data analysis tools and relevant industry data & methods.
• Research and pursue industry-leading practices in data and analytics to advance the DSA community knowledge.
• Work with IT/CTO partners to advance new data and platforms corresponding to evolving skill sets.
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled.
Requirements
• Bachelor's degree in a quantitative analytics field or 4 years of related experience in statistics, mathematics, or quantitative analytics may substitute for a degree.
• 8 years of experience in a decision support analytic function or an advanced degree with 6 years of experience in a decision support analytic function.
• 3 years of direct team lead or management experience.
• Expert skills in mathematical and statistical techniques to influence business strategy with fact-based decision-making.
• Modern knowledge of data analysis tools, data visualization, and developing analysis queries in SQL, SAS, BI tools, or other analysis software.
• Experience with new and emerging data sets and incorporation into new insights.
Nice-to-haves
• Personal Home or Auto experience.
• Experience building or leading the development of acquisition and retention demand models, loss models, and lifetime value models.
• Experience implementing these models for forecasting, pricing, and underwriting use cases.
• Experience with technologies such as Sagemaker, H2O, Python, ONNX, Earnix.
• Experience leading projects or managing teams in a matrixed, agile environment.
• Demonstrated ability to re-engineer processes for efficiency gains.
Benefits
• Comprehensive medical, dental, and vision plans.
• 401(k) and pension plans.
• Life insurance and parental benefits.
• Adoption assistance.
• Paid time off program with paid holidays plus 16 paid volunteer hours.
• Various wellness programs.
• Career path planning and continuing education assistance.
Apply Now
Apply Now