Des Moines, IA
Industry: Accounting, Finance & Insurance•
8 - 10 years
Posted 80 days ago
Seeking a highest-level individual contributor for our Pricing and Modeling Commercial Lines Agribusiness team. This Individual will have significant functional management responsibility within the discipline but typically without formal direct reports.
• Consults with management and staff on quantitative and analytical modeling techniques and develops highly advanced principles and concepts.
• Conducts long term planning to determine the future direction of the research organization and/or product/company as a whole.
• Generally recognized as by internal and external profession as a high-level expert in the field.
• Reviews, validates, quality checks and provides guidance to the work of other analysts or consultants/managers as requested.
The ideal candidate will have:
• Advanced education in statistics or a related area, preferably a PhD.
• Prior experience within the Property & Casualty insurance industry.
Compensation Grade: H3
Please note: this opening can be filled at the Sr Consultant or Consultant (G4) level, depending on the related qualifications and experience of the chosen candidate.
Reporting Relationships: Reports to Director or Sr. Executive. May have limited number of direct reports.
Core Duties and Responsibilities:
Consults with the statistical analysis functional areas and / or leadership on current and planned projects. Determines optimal / most robust techniques appropriate to complex data analysis and modeling situations. Researches statistical analysis trends, methodologies, and data sources across industries and applies appropriate conceptual approaches to devise creative solutions and leverage non-standard methodologies techniques (where necessary) to address complex problems.
Conducts long term planning to determine the future direction of the research organization and / or product / company as a whole. Plans and implements complex initiatives for functional area of responsibility and assists with initiatives outside of assigned area of responsibility.
Reviews quantitative and analytical modeling techniques and their application to Nationwide research initiatives. May lead the analysis of the most significant projects that may extend across company, functional and enterprise boundaries.
Prepares written strategic plans that determine the future direction of the organization that are critical to the overall success of all aspects of the business. Supports and influences adoption of strategies presented. Responsible for achieving established goals for functional area of responsibility.
Provides guidance, information and support for department leadership and associates. Consults regarding ongoing projects, methodologies and strategic direction.
Designs and develops highly advanced techniques and concepts. Applies expert industry, profession and organizational knowledge along with conceptual thinking skills and creativity to provide non-standard solutions.
Instructs other staff in complex exploratory data analysis, predictive modeling and data mining solutions.
Ensure compliance with enterprise model governance standards, e.g. in the areas of model documentation, development and execution of controls, model testing, and identification of model limitations.
Leads core studies that require extended timelines, extensive data collection, leveraging associate knowledge, identifying root cause and associated influence. Initiates or leverages competitive research findings. Communicates results and recommendations to senior leaders in the organization.
Creates and delivers best practices in analytic research and related tools, and presentation of information.
May act as an expert witness and provide expert testimony to explain and support company methodologies.
Performs other duties as assigned.
Typical Skills and Experiences:
Education: Undergraduate studies in statistics, data science, data analytics, actuarial science, mathematics, marketing research or related fields. Postgraduate degree strongly preferred.
Experience: Typically nine years’ related experience with large data bases, analytical problem solving in a business environment, and with programming models and queries. Experience with SAS, SPSS, R, SQL or other software building predictive models and manipulating data. Experience working with insurance data and other comparable industry data experience to identify trends and opportunities. Experience in conceptualizing and designing models to address business needs. Experience in leading a statistical/actuarial based analytical project.
Knowledge: Extensive theoretical, practical and industry-specific knowledge is essential. Solid understanding and experience with statistical research tools and relative strengths and applicability, analysis software related to other research application areas such as marketing, finance, operations research and underwriting. Solid understanding of data sources both the external and internal and the modeling, systems, and regulatory implications of utilizing these data sources.