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