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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Analytics & Visualization Build and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. Numerate self-starter with a bachelor's degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master's degree a plus). 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience. Must have hands-on experience with Python, SQL and familiarity with BI/visualization tools (Dash, Power BI, Jupyter Notebooks). Nice-to-have, Practical knowledge of machine learning and AI (including GPT-based models) and their applications in financial analysis. Tenacious problem-solving abilities with a focus on efficiency and effectiveness. Strong attention to detail and passion for learning. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. 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Gathers, organizes, and enters information into pricing models; and performs the initial analysis of exposure, loss, and coverage for the underwriter. Supports the underwriter and agent/broker with highly responsive service by managing the workflow from clearance through policy issuance and file documentation. Coordinates service requests in a timely manner. Gathers, analyzes, and ensures the accuracy of pricing and proposal information (rating and pricing tool output, proposal language, coverage forms and endorsements, financial and legal agreements, and offer/ disclosure /election forms) used by the underwriter to complete the coverage review, hazard analysis, pricing strategy, and proposal. Provides customer service to brokers and agents to facilitate the processing of business; answers questions, resolves problems on topics such as policy transactions, billing, and service needs. 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Provide thoughtful execution of second opinion reserve reviews with an eye to generating business insights. Clearly communicate results and methods to Corporate and SBU management for the purpose of influencing the business. Maintain clear and concise documentation of methods and activities. Develop effective tools for monitoring internal and external indications. Build and implement process improvement initiatives. 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. Commitment to achieving Associateship or Fellowship in the Casualty Actuarial Society. Passing grades on a minimum of 5 Casualty Actuarial Exams is required. 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 motivate and mentor peers and motivate and train subordinates. 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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Participates in group-wide ERM related initiatives comprised of cross-functional teams? Supports work to identify future sources of risk and the development of recommendations or solutions on how to mitigate. Supports operations of the function by performing routine analyses as assigned and directed by superiors. Assists with preparation of materials and reporting packages for key meetings, including ERM committee meetings. Assists with conducting research and analysis on existing and emerging risks. May support implementation and drafting recommendations. Participates in group-wide ERM related initiatives comprised of cross-functional teams. 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Supports the underwriter and agent/broker with highly responsive service by managing the workflow from clearance through policy issuance and file documentation. Coordinates service requests in a timely manner. Deconstructs submissions by identifying, gathering and entering information into systems, pricing tools and models; flagging referral triggers, and initiating/managing requests to internal service providers (e.g., rating). Gathers, analyzes and ensures the accuracy of pricing and proposal information (rating and pricing tool output, proposal language, coverage forms and endorsements, financial and legal agreements and offer/ disclosure /election forms) used by the underwriter to complete the coverage review, hazard analysis, pricing strategy and proposal. Provides customer service to brokers and agents to facilitate the processing of business; answers questions, resolves problems on topics such as policy transactions, billing, and service needs. 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Leads Discovery efforts across business, product, data and technology teams that provides insights for optimizing existing processes and products to enhance efficiency and end user experience. Analyzes product performance data to identify patterns, measure success, and identify areas for improvement. Collaborates with stakeholders to define OKRs and KPIs and regularly review to identify performance and future opportunities for improvement Provides clear and detailed requirements to development teams, ensuring they have the information needed to build the product. Monitors external landscape through research, horizon scanning and competitive trends to proactively bring recommendations and insights to end users for improvements or innovative solutions. This may involve reading industry publications, attending conferences, and networking with other professionals to focus on opportunities for continuous improvement Identifies opportunities for improvement and efficiency across operations through productivity and automation solutions, including identifying new tools to address gaps or obstacles for end users to enhance and evolve overall ways of working. Works with Product Owners and Program Managers to identify dependencies across products, addressing and accounting for as needed in business transformation plans and activities. Assists in developing, testing, and deploying solutions for LMI, while keeping goals, business priorities and new or existing technology and methodologies in mind to eliminate redundancies and ensure consistency and effectiveness * Ability to approach problems methodically and come up with creative and effective solutions. Ability to empathize with users and understand their pain points and needs. Comfortable navigating ambiguity to drive business outcomes. Understand analytical tools and techniques to interpret data, identify trends, and draw actionable insights. Understand basic statistical methods and how to apply them to analyze product performance and user behavior. Hands on experience in designing and conducting user surveys, interviews, and focus groups to gather qualitative insights. Proven experience in communicating effectively with various stakeholders, including product managers, designers, developers, and executives. Curiosity to understand user behavior, market dynamics, and emerging technologies. Facilitate cross-functional collaboration and communicate effectively to a wide variety of audiences at all levels of the organization. Understand credit investments, including Limited Partnerships, direct private investments, structured products, and other marketable securities is preferred. Prior experience with public and private credit investments and planning tools such as Simcorp, eFront, Anaplan, Aladdin, Cobalt, and Burgiss a plus. Minimum of 4 years of finance or investment operations/technology implementation and Agile experience. Bachelor`s degree required. 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Under limited direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing an advanced understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Acts as a technical guide and mentor for lower level associates. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Assists stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has a strong understanding of Agile techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensures data solutions include deliverables required to achieve high quality data. Display a basic understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work. Has a strong understanding of Business Intelligence tools, including visualization and user experience techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Demonstrates an understanding of new technologies as needed to progress initiatives. 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Leverage and enhance mix model to be able to control for mix shift for indications purposes. Leverage internal and external information to inform both historical and projected frequency, severity, and premium trend projections. Serve as a subject matter expert, assisting peers across the organization with complex analytical tasks and fostering an environment of collaboration. Clearly explain the drivers behind the changes in the indications over time and its comparison to plan. Identify and drive forward improvements in methodologies, processes, and tools. 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. Commitment to achieving Associateship or Fellowship in the Casualty Actuarial Society. Passing grades on a minimum of 5 Casualty Actuarial Exams is required. 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 motivate and mentor peers and motivate and train subordinates. 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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Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured datasets in order to generate insights to inform business decisions. Identify and tests hypotheses as part of building and developing predictive and generative models for business applications. Translate quantitative analyses and results into accessible visuals and high-level presentations for non-technical audiences to help stakeholders interpret the data. Enable the business to make trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to specific client needs. Develop solutions to loosely defined problems with guidance from teammates as you iterate on approaches. Regularly engage with the data science community and participate in cross-functional working groups. Assistant Director: $149,000 - $197,500. 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. Has a value-driven perspective with regard to understanding of work context and impact. Analyst II: Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree. Assistant Director: 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. 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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;}