Director Product Analysis Product Economics Auto Analytics

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The Auto Analytics team within Global Retail Markets Product Economics conducts critical analysis and provide recommendations to drive profitable growth in the $12B US PL Auto line of business. The key responsibilities for this role will be to produce accurate Personal Lines auto profit guidance and quantitative forecasting of prospective profitability, clearly communicate internal and external trends that impact bottom-line results and recommend strategic approaches to achieve profitable growth. This role will require a strong depth of knowledge in the Auto product and industry, close collaboration with analytical teams throughout the organization, and the ability to clearly set and communicate our go-forward LOB strategy. This role will be part of a team of 5 analysts and report to the Auto Analytics manager.
This team is involved in a wide variety of PL auto projects that require both strong technical and soft skills.  Some project examples may include developing predictive models for forecasting loss trends and profit results, building innovative solutions to understand customer mix implications, tracking global macroeconomic data in relation to insurance and non-insurance metrics, and pro-actively identifying and quantifying new tactical solutions to achieve profitable growth for PL auto.
Responsibilities:
Deliver US PL auto internal indications/profit guidance, which bring together the impacts of profitability results, trends, rate strategy and other product actions into a holistic perspective on PL auto profit health.
Build and leverage a deep understanding of the PL Auto line of business and components of profitable growth. Identify threats and opportunities, generate insights into relevant metrics, and develop and deliver recommendations to achieve and maintain target returns.
Advocate for the Auto Product throughout all levels of the organization and serve as a primary subject matter expert of the line. Partner with relevant teams to discuss key questions and exchange information to best achieve your objectives.
Determine a range of reasonable outcomes given assumption uncertainty and support our pricing selections to Product leadership and stakeholders.
Challenge existing methodologies and develop new approaches to test and enhance the accuracy of our projections.
Design improved tools and processes to facilitate increased efficiency.
Mentor and assist more junior team members.
Ideal candidate will have: 
Actuarial experience highly preferred.
Highly technical and inquisitive with the ability to create complex analyses and advance strategic proposals despite significant uncertainty. ACAS / FCAS or relevant actuarial experience is preferred but not required
5 years progressively responsible experience
Solid understanding of relevant analytical techniques with the demonstrated ability to turn observations into actionable findings
Strong willingness to challenge existing methodologies and develop new approaches to test and enhance our deliverables
Ability to identify new questions coupled with the technical and analytical ability to answer them
Demonstrated ability to communicate technical concepts to broad audiences
Ability to establish and build effective relationships within the organization
Demonstrated commitment to Liberty's Values, including a focus on continuous improvement and creating a culture of diversity, equity, and inclusion
Bachelor's degree in business, economics, or other quantitative field. 6 years, typically 8 years or more relevant work experience, typically 8 years. Master's degree beneficial.
Proficient in Excel, PowerPoint, and data analysis software (e.g., Snowflake, Emblem).
Must have good planning, organization, analytical, decision-making and communication skills.
Experience directly managing others preferred.
Excellent analytic, quantitative and problem-solving skills with proven ability to make and execute data driven decisions.
Advanced knowledge of product offerings, business processes, product line systems, underwriting rules, pricing plans and databases.
Strong understanding of insurance concepts and financial metrics.

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