Assistant Director, Data Science, Reserve Modeling

Liberty Mutual•${34271}-Remote), MA

About The Position

Liberty Mutual’s United States Retail Markets is seeking an Assistant Director, Data Science for its Risk Analytics Reserve Modeling team. The role develops claim-level models supporting personal and small commercial lines of business and advances the understanding and prediction of loss and loss adjustment expenses using new data sources, tools, analytics, and modeling techniques. The position works directly with business stakeholders to support implementation, understand business needs, and continually improve models and analytics. Candidates should be intellectually curious and committed to supporting business partners. In-office requirements may depend on the candidate’s location. The role applies predictive analytics and statistical methods to support strategic decisions related to reserving, trends, and other challenging business problems. It contributes to methodological advancement and innovation, translates quantitative findings for non-technical audiences, and helps the business evaluate choices and likely outcomes. The position is responsible for larger components of highly complex projects, provides technical consulting on project design, customizes analytics for client needs, and engages with the data science community and cross-functional working groups.

Requirements

Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
Expert knowledge of predictive tools and ability to serve as an expert resource for tool development.
Expert analytical, problem-solving, and research skills.
Proficiency in Python, SAS, and/or SQL.
Hands-on experience with large analytical datasets and enterprise-scale database systems.
Ability to work independently and collaboratively as a project team member or leader.
Strong verbal and written communication skills, including the ability to convey complex information clearly and concisely.
Ability to use analytical results to persuade team or department management toward a course of action.
Ability to build relationships within the aligned functional area or strategic business unit.
Ability to give effective training and presentations to peers, management, and less senior business leaders.
Ability to work Eastern Time hours.
Competencies typically acquired through a Ph.D. in Statistics, Mathematics, Economics, Actuarial Science, or another scientific field and at least 2 years of relevant experience; a master’s degree in a scientific field and at least 4 years of relevant experience; or a bachelor’s degree in a scientific field and at least 5 years of relevant experience.

Nice To Haves

Knowledge of insurance principles, underwriting and ratemaking concepts, and insurance functions such as Claims, Pricing, Underwriting, and Finance.

Responsibilities

Collaborate with business partners to develop statistical approaches and tools for strategic decision-making related to reserving, trends, and other challenging business problems.
Identify strategic opportunities to use theoretical methods and tools and apply forward-looking thinking to methodological advancement.
Drive innovation in the application and development of tools and practices.
Mine large datasets using sophisticated analytical techniques to generate insights and inform business decisions.
Identify and test hypotheses, ensure statistical significance, and build predictive models for business applications.
Translate quantitative analyses and findings into accessible visuals for non-technical audiences.
Help the business make clear tradeoffs among choices, with a reasonable view of likely outcomes.
Take responsibility for larger components of highly complex projects.
Guide aspects of project design as a technical consultant for the team.
Customize analytic solutions to specific client needs.
Engage regularly with the data science community and lead cross-functional working groups.
Support implementation of analytical work in the business and identify ways to improve models and analytics.