The Product Design and Modeling Department of Global Retail Markets has an opening for an Assistant Director, Demand Modeling.

The Demand Modeling Team builds complex demand models (customer retention, conversion, price elasticity, lifetime value, price optimization, and cost-benefit analyses) for all GRM lines of business. The Assistant Director will manage collaborations with business partners to develop predictive analytic solutions and/or tools that enable data-driven strategic decision-making. Utilizes current and emerging data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop demand models to predict the likelihood of a future outcome and/or to optimize business solutions and tackle challenging strategic questions related to customer demand. This role will report directly to the Director II, Demand Modeling, East & West.



Responsibilities:

• Responsible for larger components of highly complex projects. May lead project teams to achieve milestones and objectives. Guides aspects of project design as a technical consultant for the team.
• Build complex retention, conversion, and price elasticity models across different products.
• Generate data-driven answers to open-ended strategic questions related to customer demand (e.g., price presentation, adverse selection, underwriting strategy)
• Model cost-benefit analyses (CBAs) related to the impact of various initiatives and recommend program design.
• Work cross functionally to advance the use of demand modeling.
• Share research with other departments to improve demand-related decision making throughout the organization
• Support other global demand modeling team by working on projects supporting US Personal Lines and East & West markets.
• Applies forward-looking thinking to inform methodological advancement.
• Identifies new strategic opportunities for use of theoretical methods and tools.
• Advanced knowledge of predictive toolset
• Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.

Qualifications:

• Bachelor’s degree or equivalent in mathematics, economics, statistics, or other quantitative field. FCAS or a similar certification desired but not required.
• 5-10 years of progressively more responsible experience.
• Strong analytical and pricing skills with solid understanding of predictive modeling. Expert skills in Excel, PowerPoint, and statistical software packages (e.g., R, Python, SAS, Emblem, Earnix) highly desired.
• Strong knowledge of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal, and Sales departments.
• High-level knowledge of data sources, tools, and the business (lines, systems, pricing plans)
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing.
• Ability to establish and build effective relationships within and outside the organization.
• Ability to give effective training and presentations to senior management and other groups.
• Ability to lead and get work done with others.
• Ability to mentor others in Demand Modeling.
• Fluency in English

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