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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Execute monthly State Targeted Marketing (STM) and new business customer analyses, translating findings into actionable insights and recommendations. Participate in weekly and bi-weekly meetings to share key trends across Product, Distribution, and Marketing teams to support cross-department alignment. Support lifetime value models which predict the total value of a customer, partnering across USRM using the latest org science and trends. Manage both the identification and translation of emerging trends into actionable data to stakeholders across Marketing and Distribution. Improve efficiency of lifetime value processes, create new diagnostics including monitoring, and isolate drivers of changing customer value. Model inclusiveness by living our values and contribute to creating an inclusive culture. Bachelor's Degree plus 2-4 years of experience, or Master's Degree with no professional experience, or equivalent. Proficient in Excel, PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Knowledge of data sources, tools and common statistical principals. Understanding of intricacies of business supported is helpful. Understands how actions tie to systems capabilities and flow through to our financials/business drivers. 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Improve efficiency of lifetime value processes, create new diagnostics including monitoring, and isolate drivers of changing customer value. Advocate Efficient Growth decision framework and principles to ensure relevant and consistent measures are evaluated across the organization Own stakeholder relationships and collaborate on cross-functional analytical projects across Insights & Solutions and USRM functions on Efficient Growth related decisions. Lead weekly and bi-weekly meetings to share key trends across Product, Distribution, and Marketing teams to support cross-department alignment. Drive forward lifetime value models which predict the total value of a customer, partnering across USRM using the latest org science and trends. Manage both the identification and translation of emerging trends into actionable data to stakeholders across Marketing and Distribution. Model inclusiveness by living our values and contribute to creating an inclusive culture. Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required. Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, SQL, Emblem). Must have good planning, analytical, decision-making and communication skills. 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Provide inputs to help develop the Mobility financial plan. Support new opportunity development for potential partners in collaboration with peer teams. Automate, standardize, and improve indication-related tools, share best practices. Consistently deliver high levels of performance while operating in an environment of ambiguity. Demonstrate intellectual curiosity to identify trends, potential issues, and their underlying causes. Evaluate tactical underwriting and pricing strategies. Effectively communicate sophisticated financial/actuarial data to varied audiences; appropriately tailor communications based on the audience. Deliver ridehail profitability reviews. Communicate product performance and identify optimization opportunities. Communicate regular updates to internal and external stakeholders. 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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Consistently evaluate our forecasted capacity results and path forward, comparing to our financial commitments and long-term economic targets. Influence solutions to reach capacity targets and enable achievement of growth aspirations. Partner cross-functionally with workforce management, I&S analytics, and DRC leadership to make real-time decisions to optimize channel health. Serve as key point of contact to communicate emerging trends and recommended actions while balancing complexity of interconnected metrics and downstream impacts to adjacent areas. Drive strategy and analysis on capacity lever ideation, processes, and execution and partner closely across adjacent teams. Lead regular deep dives into rep behaviors and rep economics to help inform strategy and problem solving. Invest in team growth and development. Master's degree in Mathematics, Economics, Statistics or other quantitative field is preferred. Minimum 8, typically 10, years' experience; must have exceptional planning, analytical, decision-making and project management skills. Expert knowledge of data sources, tools and business drivers. Knowledge of statistical techniques required. 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Lead in-depth analytical studies to compare recent performance against business objectives, offering actionable recommendations for product and process improvements. Leverage strong technical skills to identify data attributes needed to complete work and the ability to compile them from US Retail Market (USRM) data sources, often without being able to rely on existing datasets. As needed, develop and validate innovative metrics to explain results in clear and actionable ways. Develop techniques to identify business deterioration and/or adverse selection and provide recommendations to improve results when performance falls below expectations. Develop a deep and robust understanding of the Auto Product, Coverages, and Processes to provide expertise and guidance to the organization as needs arise. Become a subject matter expert, assisting junior analysts and peers across the organization with complex analytical tasks and fostering an environment of collaboration. Experience using Snowflake, PowerBI, Python are nice to have. 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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Act as the main liaison with Moody's Analytics, managing the vendor relationship, contract renewals, issue escalation, and roadmap alignment. Collaborate with Finance, Risk, and IT stakeholders to understand business needs and translate them into functional platform enhancements. Oversee platform configuration, data integrations, release testing, and overall solution governance. Lead incident management and problem resolution in collaboration with Moody's support and internal technical teams. Monitor platform KPIs, usage metrics, and ensure compliance with SLAs, data privacy, and internal audit requirements. Stay informed on regulatory changes affecting impairment modeling and partner with the business to ensure platform readiness. Maintain a comprehensive understanding of the full Moody's product and risk model ecosystem (e.g., Impairment Studio, Portfolio Studio, Scenario Studio, CMM, Data Proxy, EDF-X), including how these tools interact, overlap, or operate independently. Act as the internal expert on Moody's platform integration, guiding cross-functional teams on best practices for leveraging Moody's suite across data pipelines, risk assessments, and reporting workflows. Evaluate new Moody's offerings and feature enhancements for potential business impact and integration opportunities. Liaise directly with Moody's product and support teams to stay current on platform updates, interoperability limitations, and planned roadmap developments. Ensure continuity and data quality when bridging Moody's products with in-house systems or third-party risk platforms. 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Provides strategic and tactical direction on initiatives for product segments countrywide, both individually and through management of a small team of junior research analysts. Drives implementation of countrywide initiatives, including tailoring product strategy to meet unique state needs. Creates new implementation strategies individually and through influence. Consults on complex business issues and design considerations. Prioritizes among projects to deliver highest level of benefit to the organization and drives expense management. Leads high complexity and long-term projects and analysis. Sponsors projects with team members spanning multiple functional areas. Conducts high complexity analysis and answers advanced business questions. Analyzes trends and is responsible for tactical and strategic recommendations. Creates/leads formal training sessions and modules. Hires, develops, provides coaching to, and makes compensation recommendations for team members. Defines individual performance objectives and development plans, and ensures alignment with department, function, and SBU objectives. Fosters an environment in which continuous improvement methodologies are applied to deliver value to customers. Advanced knowledge of data sources, tools, software 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. Demonstrated ability to exercise influence, engage employees; communicate effectively; promote collaboration, team work and change initiatives; and build value for customers through a service orientation, innovation, and continuous improvement. Displays solid business acumen and integrated thinking. Competencies typically acquired through a Bachelor's degree or equivalent experience. Advanced degree preferred. 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Our data engineers write code that turns trillions of bits of information into structured data--data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future. This role may have in-office requirements depending on candidate location The Territory Modeling team in Complex Components is looking to hire a Data Scientist to help drive our mission of building best-in-class geographic risk segmentation models! Specifically, you'll conduct analyses & support modeling efforts on our internal & external geographic data using both traditional actuarial and cutting-edge data science techniques. Actuarial experience conducting analysis on insurance data, such as premium on-leveling, loss trending, loss development, etc. is highly preferred. Using SQL for wrangling structured data & curating analysis-ready data. Using Python for analyzing data, creating data visualizations, & conducting statistical analysis/modeling. Creating, testing, and deploying Generalized Linear Models (GLMs) used for predictive purposes, such as insurance pricing. Some experience/skills working with geographic data & GIS/spatial data science methods is great but not required. Achieved or currently pursuing Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container 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background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !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;}