Assistant Director, Data Science, Reserve Modeling

Liberty Mutual Insurance•Boston, MA

7d•$120,000 - $225,000

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, advancing the company’s ability to predict loss and loss adjustment expenses using new data sources, tools, analytics, and advanced modeling techniques. The position works directly with business stakeholders to support implementation, understand business needs, and continually improve models and analytics. In-office requirements may depend on the candidate’s location.

Requirements

Strong foundation in data science and machine learning.
Expert analytical, problem-solving, and research skills.
Proficiency in Python, SAS, and/or SQL.
Hands-on experience with large analysis 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 clearly and concisely convey complex information.
Ability to use analytical results to persuade team or department management toward a course of action.
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.
Ability to build relationships within the aligned functional area or strategic business unit and network with contacts outside the area of expertise.
Ability to deliver effective training and presentations to peers, management, and less senior business leaders.
Value-driven perspective and understanding of work context and impact.
Relevant experience requirements vary by education: Ph.D. in a scientific field and at least 2 years of relevant experience; master’s degree in a scientific field and at least 4 years; or bachelor’s degree in a scientific field and at least 5 years.
Ability to work Eastern Time hours.

Nice To Haves

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

Responsibilities

Collaborate with business partners to develop statistical approaches and tools that support strategic decisions related to reserving, trends, and other business problems.
Identify strategic opportunities to apply theoretical methods and tools.
Apply forward-looking thinking to advance methodologies.
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 evaluate choices and understand likely outcomes.
Take responsibility for larger components of highly complex projects.
Guide aspects of project design as a technical consultant for the team.
Customize analytical solutions to specific client needs.
Engage with the data science community and lead cross-functional working groups.
Support implementation of models and analytics with business stakeholders, including understanding business needs and identifying ways to improve the work.