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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United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1777340100, "t_create": 1774452720, "ats_job_id": "75248", "display_job_id": "2026-75248", "type": "ATS", "id_locale": "2026-75248-en", "job_description": "Description Modeling Data Solutions is seeking experienced data engineers to join our Data Solutions job family. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. This is a range posting. Level of position offered will be based on skills and experience at manager discretion. This role may have in-office requirements based on candidate location. In this role, you can expect to: Lead the design, development, and maintenance of scalable and efficient data pipelines and ETL/ELT processes to support analytics and pricing models. Architect and implement high performance data integration solutions using modern tools and cloud services (AWS preferred) with attention to latency, throughput and cost. Implement and maintain automated data quality and testing frameworks (unit, integration, regression, anomaly detection) to ensure data correctness and trust for downstream analytics Collaborate with cross functional teams, including data scientists, product analysts, software engineers, to gather requirements, design solutions, and provide technical guidance for production launches Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency (query tuning, partitioning, resource configuration, storage formats such as Parquet/Delta). Mentor and guide junior data engineers, promoting engineering best practices, code review and thoughtful design. Stay up-to-date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) Incorporate Gen AI capabilities into data workflows and developer tooling and help operationalize safe, cost-effective Gen AI integrations. The ideal candidate will: Have strong technical aptitude with data extraction and data engineering platforms (Python, Spark/PySpark, SQL, cloud computing: AWS and Snowflake). Demonstrate 5+ years of experience building production data pipelines and platforms, with both batch and streaming experience Possess hands-on experience with data quality testing frameworks and practices, and experience implementing automated data tests and validation. Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective). Have excellent communication skills and the ability to work with technical and non-technical stakeholders. Preferred qualifications: Familiarity with ML pipelines and supporting feature stores or feature engineering workflows (Databricks). Prior mentoring or technical leadership experience. Qualifications Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. About Us 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/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 California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516349053", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516730794, "name": "Assistant Director, Data Science: US Property & Specialty Product Design and Modeling", "posting_name": "Assistant Director, Data Science: US Property & Specialty Product Design and Modeling", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Columbus, Ohio, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1778850240, "t_create": 1776110760, "ats_job_id": "75523", "display_job_id": "2026-75523", "type": "ATS", "id_locale": "2026-75523-en", "job_description": "Own the pricing roadmap: Develop industry-leading pricing programs in close collaboration with the Product team that unlocks segmented, profitable growth opportunities across the Renters Portfolio. Drive program rollouts: Lead end-to-end deployment of pricing programs -- including model adjustments for regulatory requirements, documentation, and DOI objection responses. Collaborate across functions: Partner with Delivery, Specialty Product, Program Management, IT, and other teams to ensure fast, effective launches. Analyze & iterate: Monitor Post Launch results and work hand-in-hand with business teams to refine go-forward market strategy. Innovate continuously: Identify new profitable growth opportunities by researching emerging modeling techniques and testing novel variables and new data sources. Lead with influence: Communicate tradeoffs clearly, guide leadership toward best courses of action, and deliver on commitments. 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. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516730794", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516122357, "name": "Analyst, Data Science, Earnix Design", "posting_name": "Analyst, Data Science, Earnix Design", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1776081240, "t_create": 1773409860, "ats_job_id": "74991", "display_job_id": "2026-74991", "type": "ATS", "id_locale": "2026-74991-en", "job_description": "Design best-in-class capabilities to support post-modeling activities, including calibration, dislocation, and filing. Build USDS pricing programs in Earnix. Design and implement other use cases of Earnix as a rating engine. Ensure accuracy of all pricing and non-pricing outputs from Earnix. Design and maintain rigorous data models for Earnix analytical projects and API. As required, troubleshoot and support post launch queries and issues. Improve and automate processes where applicable. Engage with the data science community and participates in cross-functional working groups. Working familiarity with GLMs and GBMs for predictive modeling. Love insurance rating programs and want to get a deeper understanding of how they work. Frequently bring voices together to find patterns in business problems. Are comfortable challenging the status quo to make systems simpler, more robust, and scalable. Enjoy documenting and sharing best practices to accelerate the whole team. Get excited by delivering business critical, production-ready products. Experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live, etc. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Foundational/intermediate knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. 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 no professional experience, a Master`s degree (scientific field of study) and 2 to 3 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 4+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516122357", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618516800971, "name": "Actuary, Data Science, Reserving", "posting_name": "Actuary, Data Science, Reserving", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1777494420, "t_create": 1776375960, "ats_job_id": "75639", "display_job_id": "2026-75639", "type": "ATS", "id_locale": "2026-75639-en", "job_description": "Analyze & Identify - Conduct a deep dive into existing reserving workflows and analyses to identify inefficiencies, bottlenecks, and automation opportunities. Build & Automate - Design, develop, and deploy automated solutions using Python and other modern tools to replace manual, time-intensive processes. Innovate on Analytics - Elevate existing actuarial analyses through automation, enhanced data pipelines, and dynamic reporting capabilities. Collaborate Cross-Functionally - Partner with actuaries, data engineers, and IT teams to ensure solutions are scalable, sustainable, and well-integrated. Document & Educate - Build robust documentation and champion best practices, empowering the broader team to leverage and maintain automated tools. Stay Ahead of the Curve - Continuously explore emerging tools, technologies, and methodologies to keep our capabilities on the cutting edge. Hands-on reserving background - Deep familiarity with loss reserving methods, triangles, development patterns, and actuarial review cycles. Programming proficiency - Meaningful experience with Python (e.g., pandas, NumPy, openpyxl, or similar libraries) and/or other automation tools. Problem-solving mindset - Demonstrated ability to look at a complex manual process and engineer a smarter solution. Self-starter attitude - You don't wait to be told what to build next; you identify the need and get to work. Experience with workflow automation tools (e.g., SQL, VBA, R, Power Automate, or similar). Familiarity with version control systems such as Git. Exposure to data visualization tools (e.g., Power BI, Tableau, or Python-based dashboards). Experience working in an Agile or iterative development environment. Intellectually Curious - You love learning new skills and aren't afraid to venture outside your actuarial comfort zone. Driven & Motivated - You set high standards for yourself and take pride in delivering quality work. Builder Mentality - You're energized by creating things that didn't exist before and seeing others benefit from your work. Clear Communicator - You can translate complex technical concepts for both actuarial and non-technical audiences. Detail-Oriented, Big-Picture Thinker - You sweat the details without losing sight of the broader strategic goal. Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. Ability to motivate and mentor peers and motivate and train subordinates. 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Own the portfolio: what gets built, what gets killed, and what gets scaled. Lead, grow, and develop a team of data scientists. Hire, coach, and create the conditions for technical excellence and accountability. Partner with senior business leaders to find the highest-leverage opportunities, scope them rigorously, and drive adoption into workflows and decisions. Oversee technically complex work: predictive models, optimization, experimentation, and applied generative AI. Stay close enough to the detail to push quality and make hard tradeoff calls. Present findings and recommendations to senior executives. Influence decisions on profitability, customer experience, loss outcomes, and program design. Champion responsible AI: explainability, fairness, governance, and alignment with regulatory expectations in a highly regulated environment. Build the operating rhythm with business partners (roadmaps, value tracking, experimentation, adoption measurement) that turns pilots into scaled, durable solutions. Significant experience leading data science, ML, or AI teams, including director-level or team-of-teams scope. Track record of getting ML, optimization, experimentation, or generative AI solutions adopted into business operations, not just deployed. Demonstrated ability to partner with senior executives and shape strategy, not just deliver requests. Strong people leadership: hiring, developing, and retaining technical talent in a competitive market. Comfort translating technical concepts for non-technical executives and frontline operators. Experience in regulated, high-stakes, or operationally complex environments. Bonus, not required: direct experience in claims, fraud/SIU, medical claims, billing, underwriting, or insurance more broadly.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517200333", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516012328, "name": "Principal Data Strategy Analyst", "posting_name": "Principal Data Strategy Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1778770980, "t_create": 1772918640, "ats_job_id": "74918", "display_job_id": "2026-74918", "type": "ATS", "id_locale": "2026-74918-en", "job_description": "Data Strategy & Strategic Development Help define and operationalize PP&B data strategy and policy practices aligned to enterprise standards Translate business goals into actionable data strategies, roadmaps, and initiatives Identify opportunities to improve data processes, decision-making, and organizational effectiveness Research industry trends and emerging capabilities to inform future-state planning Develop frameworks, success metrics, and governance approaches to measure outcomes and value Support transformation initiatives by embedding data strategy into planning and execution Build alignment through strong facilitation, communication, and relationship management Develop compelling narratives, presentations, and executive-ready materials for diverse audiences 5+ years of experience in data strategy, data governance, strategic development, transformation, program management, analytics, consulting, communications, data governance, or related fields Proven ability to lead strategic initiatives or complex workstreams with measurable business impact, experience partnering across business, data, analytics, and technology teams Strong strategic thinking and critical problem-solving skills Strong executive communication and presentation skills, with ability to understand and communicate complex data concepts to technical and non-technical audiences Ability to manage ambiguity, prioritize effectively, and drive initiatives forward independently Experience with talent data strategy Experience with data warehouse technologies Experience with Snowflake", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516012328", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517106535, "name": "Director, Risk Control Business Analysis", "posting_name": "Director, Risk Control Business Analysis", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "3026-GRS-North America-US", "t_update": 1778595360, "t_create": 1777928520, "ats_job_id": "75888", "display_job_id": "2026-75888", "type": "ATS", "id_locale": "2026-75888-en", "job_description": "Define and own the Risk Control analytics and AI roadmap, aligned to business strategy and measurable value (loss improvement, retention, efficiency, cycle time). Lead strategic discovery: identify high\u2011value enterprise and partner use cases (underwriting, claims, product), develop business cases, and prioritize work by expected impact and deliverability. Partner closely with Data Science and IT to design, validate, and operationalize models and AI/ML solutions--ensuring production readiness, monitoring, explainability, and appropriate controls. Drive end\u2011to\u2011end delivery: scope requirements, lead prototyping, oversee production deployment, and embed insights into workflows and decision processes for underwriting, risk engineers, and claims teams. Operate as a cross\u2011functional convenor--engage Underwriting, Claims, Product, Data Science, IT, and external partners to align priorities, share data, and accelerate adoption of analytics. Build and maintain a robust measurement framework and value tracking process that quantifies ROI from analytics and AI; iterate on interventions based on measured outcomes. Set and enforce data standards, definitions, governance, and quality practices to create a trusted single source of truth for Risk Control. Champion responsible AI: embed privacy, security, bias mitigation, explainability, and monitoring in analytics lifecycles. Enable self\u2011service and democratized insights by setting UX/documentation standards, training stakeholders, and building scalable analytics products. Recruit, mentor, and develop a multi\u2011disciplinary analytics team (data analysts, analytics engineers, and product-focused roles); ensure the team has both strategic and execution capabilities. Lead change management and stakeholder adoption plans--translate analytics into practical playbooks, operating procedures, and training to change behaviors and improve outcomes. Demonstrated strategic leadership in analytics or AI transformations, with the ability to set vision and deliver measurable business outcomes. Track record of partnering with data science and engineering to move models from prototype to production in regulated or enterprise environments. Deep understanding of Risk Control / Risk Engineering and Property & Casualty insurance operations, and experience applying analytics to underwriting and claims outcomes. Practical experience with BI and visualization tools (Power BI, Tableau) and a working knowledge of ML concepts, model risk controls, and production monitoring. Strong business case development skills--ability to prioritize use cases by value, cost, complexity, and risk. Proven change\u2011management and stakeholder engagement capabilities; able to influence senior leaders and drive cross\u2011functional adoption. Excellent communication: translate complex analytics into clear narratives and actionable recommendations for commercial and technical audiences. Commitment to responsible data and AI practices, including privacy, security, governance, and bias mitigation. Bachelor's degree required; advanced degree or certifications in analytics, data science, AI, or a related field are strongly preferred. Advanced to expert level knowledge of data sources, tools, applications and business drivers. Advanced knowledge of business operations, policies, procedures and priorities, to include a strong understanding of the function's value chain and market conditions. Solid ability to select, develop and engage employees. Strong ability to exercise influence and build consensus; communication skills; Promote collaboration, teamwork and change initiatives; and to build value for customers through a service orientation, innovation, and continuous improvement. Displays sound business acumen and integrated thinking. Competencies typically acquired through a Bachelor's degree or equivalent experience. Advanced degree preferred. Minimum of 10 years of relevant experience to include business analysis work and prior experience working in an effective leadership and/or management capacity.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517106535", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618517077283, "name": "Assistant Director, Advanced Analytics: Workforce Planning", "posting_name": "Assistant Director, Advanced Analytics: Workforce Planning", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States", "Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1778530740, "t_create": 1777641000, "ats_job_id": "75856", "display_job_id": "2026-75856", "type": "ATS", "id_locale": "2026-75856-en", "job_description": "Strategy & Framework Development Assess overall design and structure of broader projects and provide insights and recommendations on enhancement opportunities. Define what \"good\" looks like. Lead the design of a complexity-based claims classification framework, defining tiers, complexity drivers, and governance processes for how claims are categorized and re-evaluated over time Develop the methodology for transitioning staffing models from stick-count-based productivity assumptions to work-effort-adjusted capacity models that reflect true time-on-task variation across claim types and complexity levels Design or evaluate approaches to ongoing time-on-task measurement (e.g., system log analysis, work item metadata, structured time studies) to keep standards current as products, processes, and claim mixes evolve Ensure staffing strategy and model logic align with broader USRM Claims goals and account for expected shifts in volume, mix and complexity Develop and maintain standardized metrics, benchmarking frameworks, and reporting structures across studies Master's Degree in Mathematics, Economics, Statistics or any other quantitative field plus a minimum 5 years of applied business / non-academic experience preferred. For non-Master s Degree candidates, Bachelor's Degree and minimum of 7 years of applied business/non-academic experience, or equivalent. Proven track record of developing and applying modeling to business problems. Deep knowledge of data sources, tools and business drivers. Ability to apply more advanced analytical concepts to improve business outcomes. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). 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Analyze a wide range of performance reports and metrics and identify portfolio trends and insights on a regular cadence. Synthesize and communicate relevant trends and insights to diverse stakeholders through recurring updates. Use insights to identify, research, develop, and socialize business cases for actionable portfolio and underwriting improvement opportunities. Leverage technology, data, training, tools, guidance, and other reinforcement mechanisms to ensure consistency of quality underwriting & pricing decisions for Commercial Auto Lead execution of prioritized initiatives and moderate-high complexity projects, including cross-functional coordination and project management (building work plans, aligning stakeholders, managing timelines, and tracking outcomes). Support competitive intelligence, pricing and product strategy research, and market monitoring to inform underwriting strategy in support of annual planning, State of the Line, and other strategic forums. Support Office of Underwriting-prioritized processes and tools, such as the go-forward data architecture. Partner with segment/field teams to complete prioritized projects such as Auto audits, technical underwriting assessments, and targeted deep dives. Draft and maintain Commercial Auto technical underwriting reference materials as needed. Serve as a technical Commercial Auto Underwriting SME to Product, Actuarial & Analytics, Data Science, Technology and segment/field Underwriting Teams. Monitor and respond to emerging issues impacting Commercial Auto via product development and/or technical underwriting guidelines/guidance Develop and present training on complex topics to support execution and profitability for assigned product line. Bachelor's degree Strong verbal and written communication skills. At least 7-10 years of related work experience with demonstrated progression of responsibility Strong analytical, and problem-solving skills. Proficient in Excel and PowerPoint Must have good planning, organizational, analytical, and decision-making skills. 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Develop and validate by-channel Loss Ratio forecasts and associated assumptions to feed financial plan run-rates and profit reviews. Translate pricing and underwriting viewpoints into quantified plan inputs and present trade-offs to senior stakeholders to drive consensus on go\u2011forward actions. Partner with pricing and underwriting leads to run scenario and sensitivity analyses that inform actions taken in profit reviews and portfolio prioritization. Communicate areas of concern that require stakeholder attention, providing thoughtful recommendations that influence countrywide decisions and initiatives. Apply knowledge of insurance financials and improvement levers to build cross-functional consensus on plans to achieve consistent, profitable growth. Query data and conduct ad hoc analyses to answer advanced business questions; build reusable tools and queries to support stakeholders. Serve as a point person for high-complexity, countrywide implementations. Lead own workstreams, managing low-to-moderate complexity projects independently and conducting high-complexity analyses with minimal direction. Proven math and analytical skills, as normally acquired through the pursuit of a Bachelor's degree in Mathematics, Statistics, Economics, Actuarial Science, or related field. Minimum 3-5 years relevant experience required. Prior experience and solid knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Solid oral and written and presentation communication skills and ability to interact effectively within and outside the organization. Solid interpersonal skills and the ability to work in a team environment as well as independently. Ability to exercise discretion, and apply independent judgment and well-developed critical thinking skills in execution of assignments and projects. Ability to balance multiple projects with minimal direction. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}