Model Director Jobs Near Me

The Specialty Product Design and Modeling Team are the team behind the science of pricing for Liberty Mutual's Specialty Lines products (Landlord, Umbrella, Condo, Renters, Specialty Vehicles). Using advanced predictive analytics and statistical modeling, we build and refine rating programs that drive profitable growth. But we're more than a modeling team. We shape strategy, decide which variables matter, source the best data, and design rating programs that give Liberty Mutual a genuine competitive edge.

About the Role:

This is Director level position is a senior individual contributor role reporting to the Specialty Senior Director with two core components:

What You'll Do:

• Own Specialty's voice on Frontier - ensure our requirements are heard, documented, and built correctly across a multi-year transformation
• Become the expert on all Specialty rating programs: coverages, rating structures, data definitions, and pipelines
• Connect the dots across Product, Technology, Delivery, and Actuarial teams - keep work moving and surface problems early
• Research emerging modeling techniques, test new variables, and identify data sources that sharpen our competitive edge
• Flex across the Specialty team to support high-priority modeling and analytical work
• Tell the story - communicate complex technical work clearly to senior leaders and cross-functional partners

Ideal Candidate:

• You're energized by complex problems and equally comfortable in model details and executive conversations
• You don't wait to be told what to do - you figure out what needs to happen and make it happen
• You thrive in ambiguity and pick up new domains faster than most
• You have personal lines insurance experience and hands-on modeling skills (Python, SAS, Emblem)
• You are able to collaborate and achieve alignment across large cross-functional teams

Preferred Qualifications:

Education & Experience

• Advanced degree in Statistics, Mathematics, Data Science, or a related quantitative field preferred; Bachelor's degree with substantial relevant experience considered
• 6-8 years of relevant insurance experience preferred

Technical Skills

• Deep knowledge of predictive analytic techniques and statistical model diagnostics
• Proficiency in predictive modeling tools (e.g., Python, SAS, Emblem, Excel)
• Strong understanding of data sources, rating systems, and Specialty Lines business context (lines, systems, pricing plans)

Leadership & Communication

• Demonstrated ability to communicate complex information clearly - verbally, visually, and in writing - across varied audiences and stakeholder levels
• Skilled at building relationships and driving alignment across large, cross-functional teams
• Ability to use data and analysis to influence teams, department heads, and senior leadership
• Value-driven mindset with strong awareness of business context and impact
• Proactively challenges the status quo and identifies opportunities to improve team and organizational capabilities

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **

• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
• Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
• Ability to establish and build relationships within and outside the organization.
• Ability to give effective training and presentations to management and other groups.
• Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
• Broad knowledge of business drivers and market context.
• Has a value driven perspective with regard to understanding of work context and impact.
• Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of  6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of  8 years of relevant experience.

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty 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.Fair Chance Notices

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