We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Creating, testing, and deploying machine learning models, including GBMs, and experience using various tools to explain them. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. 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Partner with US Data Science, Product, Risk Analytics, Technology, and Experience teams to identify and prioritize both standalone pricing enhancements and non-pricing opportunities. Recommend clear, actionable paths forward with explicit rationale, trade-offs, and sequencing. Build and maintain standardized frameworks, scorecards, and dashboards that drive portfolio transparency and alignment. Facilitate capacity and dependency discussions, communicate decisions and changes, and ensure alignment on portfolio goals across cross-functional teams and senior leaders. Master's degree or equivalent in mathematics, economics, statistics, or other quantitative field. Masters, PhD, or equivalent helpful given quantitative work they are leading. Minimum of 7, typically 10 years or more relevant work experience. Expert skills in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have exceptional planning, analytical, decision-making, communication, and project management skills. Expert knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling, and code (e.g., SQL). 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In this role, the individual is responsible for a variety of tasks related to bond management and support. This includes: Maintaining the work in Progress (WIP) schedules and confirming bond closing details. Coordinating the processing of indemnity documents, entering financial statements, and following up on Co-Surety Agreements. Manages various tasks such as Good Guy letters, Financial Status follow-up, and coordination of aggregation. Conducts Large Contract Reviews (LCR) and handles counter guarantees for amendments. Entering bond requests, following up on bid results through agent correspondence and other resources. Conducting analysis and adjustments for the total potential backlog. Handling the entry and submission of rating scenarios for approval and ensuring the setup of agent Line of Authority (LOA). Developing and maintaining consistent document storage naming conventions. Coordinating cross-border bond placements through the Global Service Center (GSC) and closely monitoring market intelligence for applicable accounts. Handles bond registrations and subsequent transactions. Serves as a trusted advisor and support resource for all aligned stakeholders. Bachelor`s degree (or equivalent experience) and at least 5 years of surety bond underwriting assistant experience expected. Demonstrates a solid understanding of surety business and all processing functions required to support operations. Capabilities include critical thinking/problem solving, decision making, customer focus, detail orientated, exceptional customer service and excellent written/verbal communications skill. Demonstrates ability to work well on a team and independently. Competent and proficient with computer software applications utilized by Surety. Demonstrates ability to mentor Surety Underwriting Support staff. 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Loves problem solving, with a proven track record of proactively identifying and driving forward change. Learns new concepts, processes, and tools quickly. Utilizes generative AI to streamline processes and enhance efficiencies. Communicates clearly and effectively conveys complex messages, insights, and recommendations to various stakeholders in both formal and informal settings. Demonstrated ability to multitask and pivot effectively based on changing priorities. Proven capability to work independently with minimal supervision. Proactive mindset with the ability to identify opportunities for improvement and take initiative without direct assignment. Strong skills in research, analysis, and identifying trends to inform business decisions. Experience leveraging Artificial Intelligence tools and technologies to drive efficiencies and add value in business operations. Experience with pricing and rating systems. Ratabase experience. Bachelor's or Master's degree in business or technical discipline or equivalent experience. Master's degree preferred. Minimum of 8 years related experience. Thorough knowledge of business operations, objectives, strategies and global business trends in the financial services industry; current on new methods of integrating technology with business strategy. Thorough knowledge of business priorities and investments required for long range success. Extensive knowledge of IT concepts, strategies and methodologies. Extensive knowledge of diverse technologies and new and current architectures. Skills in object, data and process modeling; financial analysis and planning; migration planning; business value analysis; business process design. Highly developed negotiation, facilitation and consensus building skills. Highly developed oral and written communication skills. Drive business value by supporting the delivery of highest priority initiatives using thorough research techniques and rating knowledge with an Agile mindset Execute Ratabase coding tasks with an emphasis on accuracy and efficiency, ensuring that all code complies with established coding standards and protocols. Apply thorough testing procedures to verify the accuracy of coding and analysis results to reduce engineering rework and minimize customer impacts. Actively participate in discussions to ensure clarity, communicate rating outcomes, raise blockers, and provide recommendations for next steps. Create and proactively maintain comprehensive requirements and project documentation to support project clarity and continuity that is easily accessible and understood regardless of domain or portfolio. 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Provides a high level of customer service through timely response to broker requests and deadlines and meets service standards regarding policy and endorsement issuance. Develops internal relationships with other company divisions to drive cross marketing efforts. Maintains well documented files. Degree in Business or equivalent typically required A minimum of 2.5 years, typically 3 or more years, of progressive underwriting experience and/or other related experience CPCU or professional insurance designation preferred Proven analytical ability to evaluate and judge underwriting risks within scope of responsibility that includes competence with all phases and aspects of the underwriting process, and proficiency in the use of qualitative and quantitative tools and techniques Must demonstrate comprehension of complex technical underwriting issues and be capable of defining and implementing necessary underwriting and administrative processes/workflows to properly manage or administer those issues Proven track record of developing and underwriting profitable business", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618506143827", "isPrivate": false, "latlongs": "39.7392358,-104.990251"}, {"id": 618513096363, "name": "Dir, I (STP), ADV Analytics", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1757603040, "t_create": 1756920780, "ats_job_id": "72069", "display_job_id": "2025-72069", "type": "ATS", "id_locale": "2025-72069-en", "job_description": "Lead major economic analyses across distribution channels and lead sources; synthesize findings and present clear recommendation to executives to drive profitable growth for USRM Assess the return of marketing spend overall and by lead source, recommending optimal spend levels and allocation Build and maintain customer lifetime value and acquisition models to understand the true causal and economic impact of decisions Translate lifetime value insights into concrete business insights and decisions such as consumer segment level-returns, major partnership economics or the returns of different PIF growth levers. Serve as the Efficient Growth economics lead, providing consultative insurance economic and lifetime value expertise across USRM to different teams Develop clear, executive-ready presentations; lead stakeholder alignment and identify recommended actions Build close relationships with stakeholders across USRM, most notably with I&S Distribution & Marketing teams including Media, Direct, Partnerships and IA and with Finance. 7+ years of progressively more responsibility in analytics, finance or strategy. Experience with lifetime value methodology, insurance acquisition economics, and distribution and marketing ideal. Advanced analytical and problem-solving skills. Ability to dissect complex analytical questions, get at the root cause of an issue, carry out independent analyses, and propose solutions. Proven experience presenting complex analyses at the executive level (SVP level+) and influencing strategic outcomes Demonstrated ability to lead large projects, synthesize inputs from multiple groups and drive decisions Intellectual curiosity and motivation to work towards becoming a thought leader in areas of responsibility Strong written and verbal communication skills, as well as proven ability to effectively present technical concepts to non-technical stakeholders.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513096363", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505650179, "name": "Senior Product Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Product Management", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1758148260, "t_create": 1753107960, "ats_job_id": "71335", "display_job_id": "2025-71335", "type": "ATS", "id_locale": "2025-71335-en", "job_description": "Fully own and execute on assigned states' end-to-end rollout of the latest personal auto insurance pricing programs. Gather and document product requirements, clearly communicate requirements to stakeholders, and ensure accurate implementation. Act as the subject matter expert for the pricing program and assigned states, provide thoughtful recommendations that influence state decisions and help drive corporate strategy. Lead cross-functional workstreams and manage moderate to high complexity projects. Conduct complex analyses to drive and support business decisions; where necessary, conduct in depth research of competitor offerings and filings. Educate IT partners on business vision and plan, and both IT and business partners on the impact of changes. Independently manage project timelines, flag risks and develop contingency plans, escalate blockers as appropriate. Regularly update leadership and stakeholders on project progress, addressing concerns and managing communication channels. Lead job shadow discussions with less experienced analysts. 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