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.
Description
**There are two positions available. This is a ranged posting - Analyst, Sr Analyst or Consultant. Level offered is dependent on candidate experience and qualifications at manager discretion. These roles may have in-office requirements based on candidate location.**
Description
The US Retail Markets (USRM) Product Management Personal Lines Auto Underwriting Effectiveness team is seeking a talented, motivated individual to join our group. Responsibilities for this role include implementing Quote Flow Control (QFC) and UW model changes & leading analysis to recommend other QFC actions for all brands, states, and channels. You will partner with groups across Product and USRM functions to develop countrywide and state specific strategies to drive profitable growth.
Responsibilities:
- Accurately calibrate, implement and post-monitor state and channel-level Quote Flow Control changes.
- Partner directly with DSOs and other Product/USRM functions to adjust state QFC rates & underlying models to achieve state, brand, and channel-level profit & growth objectives.
- Query data using SAS/Snowflake to perform complex analyses to evaluate UW performance at a state level, proactively recommending and executing solutions that drive profitable growth.
- Lead multiple projects of varying complexity and present updates to Auto Product leadership and cross functional teams
- Sr Analyst/Consultant level would partner with Auto Delivery to drive alignment across Underwriting & Pricing programs
- Support the development of custom UW strategy and model builds for non-franchise states
- Bachelor's degree in mathematics, economics, statistics, or other quantitative field Minimum 4 year's relevant work experience, typically 6 years.
- Advanced proficiency in Excel, PowerPoint, and data software packages (e.g., SAS, Snowflake).
- Knowledgeable with data sources, tools, and the business (lines, systems, pricing plans), predictive modeling, and code (e.g., SQL).
- Must have strong planning, organizational, analytical, decision making and communication skills.
- Experience managing projects preferred.
**This position may have in-office requirements depending on candidate location.**
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" on IDG'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 Graduates as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion
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://LMI.co/Benefits
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.
Fair Chance Notices
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