Director Data Science Product Design and Modeling

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At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.  
Liberty Mutual has proudly been recognized as a Great Place to Work by Great Place to Work® US for the past several years. We were also selected as one of the 100 Best Places to Work in IT onIDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduatesas well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit:  ****We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit:  ****Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 
Advance your Career at Liberty Mutual Insurance - A Fortune 100 Company
The Product Design and Modeling team has a unique opening for a Director, Data Science, that will lead a team responsible for research to drive price segmentation across small commercial.  Price segmentation offers challenges for small commercial, but also unique opportunities. We seek to develop expertise on industry classification, including the data needed to achieve it. The Product Design and Modeling team has best-in-class talent and capabilities.  This manager will lead a team that uses a blend of complex modeling and research not requiring modeling, including competitor research, in order to get our fullest set of knowledge to market.  This manager will collaborate extensively with teams in and outside of Product Design and Modeling.    
The Director, is responsible for one or more of the following:
Building complex models to create industry classification within and across lines
Building analytical expertise about each line and industry group, collaborating with a large set of modelers to incorporate key data points in their models
Building loss cost and/or loss ratio models for several lines of business
Understanding where alternative data, third party data or competitor information could be used to enhance our decision-making.  Build models of competitor rates.
Develop a high-performing modeling team
  Responsibilities:
Develop expertise in products requiring price segmentation
Build complex models to understand how nature of operations drive loss costs, and develop classification systems for price segmentation
Design mechanisms to allow other modelers to develop expertise in products and industry group classification expertise
Determine how important alternative data, e.g. competitor prices, is to bring into our decision-making, and build processes to execute on it
Research premium/loss experience and make recommendations on cross-lines pricing initiatives
Collaborate with Economics team to understand product performance, investigate gaps and drive for additional accuracy in pricing models
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets); collaborate with the Office of Data Science, and partner teams in PDM and GRS to develop and align on best practices
Collaborate with Delivery, Solutions, and Underwriting Effectiveness teams to help implement new pricing programs
Bachelor's degree required. Insurance designations such as FCAS or advanced degree in a quantitative field desirable.
Overall 5-7 years of progressively more responsible experience, including supervisory experience.
Strong analytical skills with solid understanding of all casualty actuarial techniques, standards, and assumptions.  Expert skills in Excel, PowerPoint, and statistical software packages (e.g., SAS, Python, R, Emblem) 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), predictive modeling, and code (e.g., SQL) preferred.
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 through others. Ability to coach and develop staff members.

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