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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Conducts complex ad hoc and on-going financial forecasts and models that assist the business in making decisions, ensuring that trends and outcomes are communicated appropriately to senior management. Responsible for creation of annual financial plan and monthly forecasts for business units - ensures integration of risk scenarios and asset allocation. Partners with Corporate Finance on the annual financial plan and monthly forecast for Investment Business Units (IBU) Evaluates financial and portfolio performance by comparing and analyzing actual results with plans and forecasts. Through collaboration with Financial Reporting Leads, recommends actions by analyzing and interpreting data and making comparative analyses. Provide stakeholders with a focused financial lens on portfolios and risk scenarios, such as volatility within the portfolio or financial constraints respective to the business unit. Synthesize results across Performance & Attribution, Financial Reporting, and the annual financial plan to provide holistic view of Investment business unit (IBU) results. Assess changes to the regulatory, emerging technology, and threat landscapes, communicating assessments to business leadership through presentations or established forums. Partners with Strategic Expense Management to define best practices and processes to drive rigor and excellence in budgeting across each business unit. Collaborates with Portfolio & Financial Analytics Leader to implement metrics for senior leadership highlighting financial performance, key issues, and risks to enable investment decisions and foresight for their respective business units Inform both the Valuation Committee and Stress SteerCo of IBU financial risks and outcomes, as requested. Forges connections and partnerships with senior leaders throughout LMI to understand business perspective on reporting, analysis, and financial performance needs. Responsible for developing the team's capabilities to meet both current and future needs of the Portfolio and Financial Analytics function and broader enterprise. Bachelor`s degree (Accounting or Finance). CPA/CFA or advanced degree in Accounting, Finance or Business preferred. Comprehensive understanding of accounting standards (e.g., GAAP, STAT) and investment instruments (ex. Derivatives, Alternatives, Private Credit, Fixed Income) Minimum of 10 years of accounting or finance experience across asset management. Must demonstrate ability to execute thoroughly in a fast-paced work environment, adapting quickly to changing conditions to achieve results. Possesses superior communication skills to influence and collaborate with all levels of the organizations to gain support for ideas and execute on projects that deliver value to customers. Comfortable leading meetings, making strategic recommendations to executive leadership and giving presentations to large audiences. Advanced understanding of Finance Tools and Analytical Methods. Previous experience working with expenses a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618491760133", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618491760079, "name": "Portfolio & Financial Analytics Senior Director", "location": "Boston, Massachusetts United States", "locations": ["Boston, Massachusetts United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Investments-US", "t_update": 1699902420, "t_create": 1686054600, "ats_job_id": "58953", "display_job_id": "2023-58953", "type": "ATS", "id_locale": "2023-58953-en", "job_description": "Oversees and manages Portfolio & Financial Analytics Team supporting IBUs and the broader LMI business across asset allocation, fixed income, partnership and innovation, and risk management. Responsible for ensuring the Portfolio & Financial Analytics Team provides timely and accurate information to internal (e.g., LMI, Corporate) or external (e.g., rating agencies, auditors) customers. Manages investment and executive reporting to IBUs (e.g., Internal Investment Committee, Board of Directors, Rating Agency) and provides a holistic view of financial performance across entire portfolio to provide recommendations and analysis of the best approach for assets, with a focus on core financial aspects (e.g., constraints, volatility), products, and expenses. Partners with LMI Managing Director/CFO and LMI Senior Leaders to develop and implement investment strategies aligned with LMI's overall goals and objectives. Oversees implementation of strategies for managing investment portfolio, including financial performance monitoring, risk management, trend analyses, and impacts of asset allocations Partners with Corporate Finance on the annual financial plan and budget Defines best practices and processes to drive rigor in investments, budgeting, and expense management throughout LMI. Partners with direct reports and team to provide consistent, impactful financial analyses and forecasting across respective business units and portfolios. Oversees the completion of accurate and complex ad hoc and on-going financial forecasts and models that assist the business in making decisions, ensuring that trends and outcomes are communicated appropriately to senior management. Establishes metrics for senior leadership highlighting financial performance, key issues, and risks to enable investment decisions and foresight. Directs and provides guidance to the head of Strategic Budgets and Expense Management to provide proactive, individualized budgeting to business units in line with strategic goals, as well as establishing and reviewing processes for expense management to provide deeper insights on spending throughout LMI. Manages department budget by overseeing the preparation of forecasts, annual budgets and analyzing monthly expenses. Forges connections and partnerships with LMI Senior Leaders to understand business perspective on reporting, analysis, risk, and asset allocation from a financial lens. Fosters an environment of continuous improvement, initiating and/or leading cross-functional projects to improve efficiency or effectiveness. Responsible for developing the team's capabilities to meet both current and future needs of the accounting operation and the enterprise. Takes action to attract, engage and advance the careers of people from all backgrounds and experiences. May recommend changes to the structure of the organization to address changes in the business or improve customer service. Bachelor's degree in business, Finance or Accounting required. Advanced degree in Finance or Accounting preferable. CFA designation or progress towards preferred. 10+ years of progressive experience in the financial industry within an asset management firm, along with experience at leading financial analysis projects. Demonstrated leadership and management skills- a minimum of four years of managing staff. Demonstrated ability to initiate change as a thought leader. Excellent understanding of financial analysis and investment landscape. Comprehensive understanding of accounting standards (e.g., GAAP, STAT) and investment instruments (ex. Derivatives, Alternatives, Private Credit, Fixed Income). Excellent written and verbal communication skills and decision-making abilities. Experience initiating and leading projects and demonstrated ability to work with senior managers and key stakeholders.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618491760079", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618494213496, "name": "Head of Investment Data Content Management", "location": "Boston, Massachusetts United States", "locations": ["Boston, Massachusetts United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Investments-US", "t_update": 1699902600, "t_create": 1698931800, "ats_job_id": "61485", "display_job_id": "2023-61485", "type": "ATS", "id_locale": "2023-61485-en", "job_description": "Be responsible for Investments data design and oversee data engineers. This includes owning the investment data landscape including the Portfolio Data and underlying data including cash, holdings, transactions, master data and closely coordinating with and understanding the requirements and data flows of key stakeholders across LMI include the asset allocation, portfolio management, technology, and Global Investment Services teams (Product, Operations, Finance, Treasury, Compliance, etc). Quickly develop the business and product knowledge required to support the Investment data function and related governance activities of LMI's $100B portfolio with a strategy primarily focused on high quality fixed income assets, private and growth credit and equity; incorporate into the core investment data design the ability to successfully meet timely, accurate data needs across multiple user personas. Design the Investments data content and develop into a cohesive, joinable eco-system of data and analytics which can be obtained via self-serve consumption; oversee and dictate design of data flows to consumers including internal data and data from third-party applications and vendors (Blackrock, Moody's, etc.) Set the strategic direction, design principles, implementation approach to deliver the golden source investment data content sets and master data Build team of data content designers (both onshore and offshore) and provide direction to data engineering squads. Work cross-functionally to ensure data best practices are designed and implemented proactively and that Investments data is accessible with appropriate channels of access controls; support data dictionary & definition cataloguing, including incorporating enterprise data domains and elements as required. Act as primary business owner of reference data on behalf of Investments including such as ratings and asset hierarchies (both internal and external), public and private companies associated with the assets that LMI holds as well as making the investable universe available to business users for pre-trade research Partner with Head of Data and Analytics Products to make available core foundational data, both internal and external, to enable the creation of data products Collaborate with the Head of Data Governance to create resilient and sustainable data analysis processes and data quality rules Embed control protocols that govern the proliferation of data to ensure that data controls are enforced Develop a deep understanding and alignment to LMI's data governance framework and policy requirements Design and develop out the integration of data assets into LMI's Collibra data catalog integrated into the foundational data to enable self-service for search, discovery and delivery of data Minimum 10-15 years' experience in data analytics, reference data, data modeling, master data management in asset management Strong understanding of the organization's data needs in a high-growth and complex environment and ability to establish standards for data design and be able to drive change Strong leadership and communication skills as well as the ability to influence key decision-makers and understand their points of view Experience with portfolio data and master data management design and rollout in asset management Understanding of investment data content, mapping strategies and implementing self-service consumption for data consumers in investment teams Experience working within investment teams and understanding how value is created from financial time series data and analytics within the applicable asset classes Demonstrated track record and hands-on experience in creating and implementing master data strategy, including outsourcing the function Experience enabling golden sources of data ready for consumption from the cloud Experience in building data models and/or working with Technology to create common data models to enable ease in analytics Must be able to work effectively leading and providing direction to your offshore team as well as teams of data engineers in Technology Be self-motivated, task oriented, and organized --able to develop strategy and execute to plan Understand scalable data concepts, including data design and modelling, as well as working knowledge of python, SQL, BI tools (Excel, Power BI, Thoughtspot, etc) and Big data. Familiarity with asset management in the insurance industry and related regulatory considerations a plus Experience managing outsource partners and developing business cases and overseeing programs to outsource data operations Bachelor's degree in Business, Analytics, Statistics, Computer Science or related field; Masters degree and/or CFA a plus", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618494213496", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618493386449, "name": "Associate, Research Strategy (Global Fixed Income)", "location": "Boston, Massachusetts United States", "locations": ["Boston, Massachusetts United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Investments-US", "t_update": 1699902480, "t_create": 1695232920, "ats_job_id": "60858", "display_job_id": "2023-60858", "type": "ATS", "id_locale": "2023-60858-en", "job_description": "Collaborate closely with Head of Research and research analysts to understand their needs and provide quantitative/ data driven insights into fixed income issuers and markets Partner with Data and Analytics Teams and Technology to develop solutions and ensure relevant data needed for analysis is processed and cleaned in line with research requirements Understanding and application of relevant AI solutions. Stay updated with the latest quantitative research methodologies and tools, ensuring our analysis remains cutting edge Leverage technology, programming, and data visualization tools to improve analytical processes, optimize workflows, and enhance decision-making capabilities Employ statistical and machine learning techniques to identify patterns, correlations, and trends in the fixed income market Manage multiple projects simultaneously, ensuring timely completion and high-quality deliverables while maintaining attention to detail and accuracy Communicate complex quantitative results in a clear and concise manner for Research team and portfolio managers. Strong technical skills with proficiency in programming languages such as python, R, VBA, and SQL Advanced degree in finance, math, econ, statistics or related field Strong proficiency in development of statistical and quantitative research models as well as working knowledge of AI, understanding of AI benefits and risks of AI solutions Experience with Blackrock's Aladdin investment platform, Bloomberg is preferred. Solid understanding of fixed income instruments, credit markets and related analytics Demonstrable experience working with company fundamental data, macroeconomic data, multi-asset fixed income data Exceptional analytical and problem-solving skills with a keen eye for detail Strong communication skills with the ability to explain complex concepts succinctly and clearly Ability to work across teams to innovate and to achieve desired results", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618493386449", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618494128848, "name": "Director II, Data Products, Liberty Mutual Investments (remote)", "location": "Boston, Massachusetts United States", "locations": ["Boston, Massachusetts United States", "NYC Investments - 50 Hudson Yards 65th floor New York, New York 10001 United States ", "Remote, Remote 02144 United States "], "hot": 0, "department": "Investments", "business_unit": "3022-Investments-US", "t_update": 1699902540, "t_create": 1698434160, "ats_job_id": "61425", "display_job_id": "2023-61425", "type": "ATS", "id_locale": "2023-61425-en", "job_description": "Implement initiatives that enhance customer interactions, improve products and services, and continuously drive improvements as measured by relevant KPIs. Create the strategic and tactical roadmap for a portfolio of data products, including identifying new opportunities and enhancements to improve data insights and decision-making capabilities. Collaborate with cross-functional teams to define product requirements, prioritize features, and ensure successful product launches. Coordinate with data engineering, production, and product owner teams to ensure high-quality, accurate, and timely data delivery to clients. Manages moderately to highly complex projects leveraging agile methodologies. Ability to think through proof-of-concept solutions and how they will be maintained, and can help assess whether proof-of-concepts are viable and scalable by partnering with IT. Ability to understand and discover underlying outcomes needed and propose accurate and timely data driven solutions and translate the requirements into detailed data product designs. Knowledge of financial markets, asset management, and investment products. Familiarity with accounting principles and financial statements of an asset manager is a plus. Has a command of industry trends and an understanding of organizational processes. Ability to grasp new technologies needed to progress initiatives, while demonstrating an understanding of the use of data in solving a business use case. Broader knowledge sharing and technical guidance to team members and partners. Strong written and oral communication skills required. Experience in communicating recommendations to senior business leaders preferred. 7-10 years of experience working in coding and data solutions design principles, particularly in open-source tools and technology. Investment experience strongly preferred Proficient in SQL, Python, and Excel BA/BS, or relevant work experience, in Computer Science or related field preferred. MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618494128848", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618493174758, "name": "Data Steward - Investments", "location": "Boston, Massachusetts United States", "locations": ["Boston, Massachusetts United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Investments-US", "t_update": 1699902480, "t_create": 1694098440, "ats_job_id": "60616", "display_job_id": "2023-60616", "type": "ATS", "id_locale": "2023-60616-en", "job_description": "Provides, builds, and maintains prototype data solutions to meet the needs of the enterprise. Develops coding proof-of-concepts for data and helps ensure those solutions can be scaled appropriately. Works at the highest authority limits on assignments reflecting the deep knowledge of data and analytics in asset management. Provides technical guidance and assistance to federated data stewards. Independently 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 leader and mentor to the team. Designs and develops data solutions that enable effective self-service data consumption and can describe their value to the customer. Collaborates with stakeholders in defining metrics that are impactful to the business. Prioritizes efforts based on customer value. Has an in-depth understanding of Agile techniques. Can set expectations for deliverables of high complexity. Can assist in the creation of roadmaps for data solutions. Can turn vague ideas or problems into a data product strategy. Influences strategic thinking across the team and the broader organization. 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. Ensure data solutions include deliverables required to achieve high quality data. Displays a strong understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work. Demonstrates a comprehensive understanding of new technologies as needed to progress initiatives. Leadership Capabilities: You should have a track record of building successful data teams in asset management in a high performance environment. Demonstrated leadership capabilities in a diverse, distributed team environment. Strong technical and domain knowledge: You should possess a high level of understanding of financial industry and in particular asset management internal and external data set content, expertise in data analytics, data management, and data modeling. You should be proficient in programming languages such as both Python and SQL. Financial Industry Expertise: You should have a deep understanding of financial industry master data, market data, and portfolio analytics. You should be familiar with the financial instruments and the various financial data sources in the asset management industry. Data Governance and Management: You should be well-versed in data governance principles and should have experience in developing and implementing data governance policies and procedures and standards. Analytical Skills: You should have excellent analytical skills to analyze data and draw insights from it. You should be proficient in using statistical analysis tools and techniques. Problem-Solving Skills: You should possess strong problem-solving skills and be able to design and implement solutions to complex data management challenges. Organizational Skills: Demonstrate ability to define, organize and roadmap multiple priorities simultaneously. Communication and Collaboration Skills: You should have excellent communication and collaboration skills to effectively work with different teams within the organization, such as IT, investment management, operations, finance, and compliance as well as externally with data and platform solutions providers.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618493174758", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618493395858, "name": "Principal Data Engineer, investments Technology", "location": "Boston, Massachusetts United States", "locations": ["Boston, Massachusetts United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1700532840, "t_create": 1695283380, "ats_job_id": "60866", "display_job_id": "2023-60866", "type": "ATS", "id_locale": "2023-60866-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are seeking two highly skilled Principal Data Engineers to join our dynamic team. As a Principal Data Engineer in our Data Engineering Chapter, you will play a pivotal role in shaping the future of data analysis while thriving in a fast-paced environment that encourages personal growth and development. A bachelor's degree in a technical or business discipline, or equivalent experience 8+ years of related data engineering experience with focus on designing and building data pipelines Strong consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements Proficient in SQL and hands on experience with Python Experience with Data modeling and data warehousing Experience with public cloud data platforms, Snowflake (preferable), AWS, Azure Proficiency with AWS Services including but not limited to AWS S3, AWS Glue, AWS Lambda, AWS EC2 Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Experience with build/deploy automation & DevOps frameworks (CI/CD, Bamboo, GitHub Actions, pipeline-as-code) A design thinking and test-driven development mindset Experience with business intelligence tools and reporting solutions (Power BI, Tableau etc.) Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable Previous Tech Leadership experience desired Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances Lead the Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Act as a technical leader, working in tandem with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Collaborate closely with key business and tech stakeholders to identify and deliver high-quality solutions aligned with business needs and technology strategy. Research, recommend, design, and develop systems and application architecture with a strong focus on software quality, security, and compliance. Work closely with development team in building Innovative, API first, cloud native solutions using AWS platform, Snowflake, Snaplogic, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality. Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor engineers/individual contributors in the team; conduct design and code reviews and champion engineering excellence/best practices. Collaborate effectively with architecture team and across LMI Tech and Corporate tech team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618493395858", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618493395859, "name": "Senior Data Engineer, Investments Technology", "location": "Boston, Massachusetts United States", "locations": ["Boston, Massachusetts United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1700578260, "t_create": 1695283380, "ats_job_id": "60867", "display_job_id": "2023-60867", "type": "ATS", "id_locale": "2023-60867-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As a Sr. Data Engineer in our Data Engineering Chapter, you will play a pivotal role in shaping the future of data analysis while thriving in a fast-paced environment that encourages personal growth and development. A bachelor's degree in a technical or business discipline, or equivalent experience 5+ years of related data engineering experience with focus on designing and building data pipelines Proficient in SQL and hands on experience with Python Experience with Data modeling and data warehousing Experience with public cloud data platforms, Snowflake (preferable), AWS, Azure Proficiency with AWS Services including but not limited to AWS S3, AWS Glue, AWS Lambda, AWS EC2 Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Experience with build/deploy automation & DevOps frameworks (CI/CD, Bamboo, GitHub Actions, pipeline-as-code) A design thinking and test-driven development mindset Experience with business intelligence tools and reporting solutions (Power BI, Tableau etc.) Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Work in Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, API first, cloud native solutions using AWS platform, Snowflake, Snaplogic, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality. Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618493395859", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618494670628, "name": "Assistant Underwriter, Latin America Reinsurance", "location": "Miami, Florida United States", "locations": ["Miami, Florida United States"], "hot": 0, "department": "Underwriting", "business_unit": "3036-GRS-LM Reinsurance-US", "t_update": 1701288221, "t_create": 1701161460, "ats_job_id": "61778", "display_job_id": "2023-61778", "type": "ATS", "id_locale": "2023-61778-en", "job_description": "Thoroughly support underwriters and monitor assigned portfolio to ensures data integrity is maintained within Fin Risks/LMRe by: Reviewing, organizing, and pre- analyzing submission information. Register and control submission flow for the Latam Fin Risks team in Salesforce. Process entries, as required, properly onto relevant systems in a timely manner ensuring accuracy of data with relation to both underwriting and aggregate exposures. Periodic reviews of internal reports to ensure data quality of the Latam book of business in the proper systems and controls (Autopoz, FRED) Pre-review and compare treaty wordings to support underwriters and manage the wording signature process. Comply with deadlines for registration and data quality Front-sheets, Mapping, Autopoz, etc Coordination and constant communication with different areas of the organization such as Accounting, Claims, Ops team for proper book monitoring and Data quality. Effectively utilize LMRe's models (HX), tools (Fred Mapping and BI), and resources to extract information and prepare reports. Contribute and participate in special projects, as requested. Contribute for Support the development of the HX platform and others through testing as requested Bachelor's degree or equivalent qualification (e.g., ACII). Minimum of 5 years of experience within the insurance/reinsurance industry with preference for those experienced in Specialty products (Surety and Short-term credit) Intermediate/ advanced level proficiency in Excel and other l software packages. Strong numerical, analytical and literacy skills Excellent organizational and prioritization skills. Ability to analyze and manipulate data for report preparation and underwriting support. Exceptional attention to detail and a strong team player. 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.html_header_searchicon_disabled #top .av_header_border_disabled.av_bottom_nav_disabled .main_menu .menu>li:last-child>a .avia-menu-fx{padding-right:13px;-moz-box-sizing:content-box;-webkit-box-sizing:content-box;box-sizing:content-box;} div .logo{float:left;position:absolute;left:0;z-index:1;} .logo,.logo a{overflow:hidden;position:relative;display:block;height:100%;} .logo img{padding:0;display:block;width:auto;height:auto;max-height:100%;image-rendering:auto;position:relative;z-index:2;height:100%;height:auto;-webkit-transition:opacity 0.4s ease-in-out;transition:opacity 0.4s ease-in-out;} .main_menu{clear:none;position:absolute;z-index:100;line-height:30px;height:100%;margin:0;right:0;} .av-main-nav-wrap{float:left;position:relative;z-index:3;} .av-main-nav-wrap ul{margin:0;padding:0;} .av-main-nav ul{display:none;margin-left:0;left:0;position:absolute;top:100%;width:208px;z-index:2;padding:0;box-shadow:0 8px 15px rgba(0, 0, 0, 0.1);margin-top:-1px;} .av-main-nav ul li{margin:0;padding:0;width:100%;} .av-main-nav ul li a{border-right-style:solid;border-right-width:1px;border-left-style:solid;border-left-width:1px;} .av-main-nav ul li:last-child > a{border-bottom-style:solid;border-bottom-width:1px;} .av-main-nav li{float:left;position:relative;z-index:20;} .av-main-nav li:hover{z-index:100;} .av-main-nav > li > ul{border-top-width:2px;border-top-style:solid;} .av-main-nav > li{line-height:30px;} .av-main-nav li a{max-width:none;} .av-main-nav > li > a{display:block;text-decoration:none;padding:0 13px;font-weight:normal;font-size:12px;font-weight:600;font-size:13px;-webkit-transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} .av-main-nav > li > a{-webkit-transition:none;transition:none;-webkit-transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} #top .av-main-nav ul a{width:100%;height:auto;float:left;text-align:left;line-height:23px;padding:8px 15px;font-size:12px;min-height:23px;max-width:none;text-decoration:none;font-family:inherit;} #top .av-main-nav ul ul{left:-207px;top:0px;margin:0;border-top-style:solid;border-top-width:1px;padding-top:0px;} .av-main-nav li:hover ul ul{display:none;} #top .av-main-nav li:hover > ul{display:block;} .avia-menu-fx{position:absolute;bottom:-1px;height:2px;z-index:10;width:100%;left:0;opacity:0;visibility:hidden;} .av-main-nav li:hover .avia-menu-fx,.current-menu-item > a > .avia-menu-fx{opacity:1;visibility:visible;} .avia-menu-fx .avia-arrow-wrap{height:10px;width:10px;position:absolute;top:-10px;left:50%;margin-left:-5px;overflow:hidden;display:none;visibility:hidden;} .current-menu-item>a>.avia-menu-fx>.avia-arrow-wrap,.current_page_item>a>.avia-menu-fx>.avia-arrow-wrap{display:block;} .avia-menu-fx .avia-arrow-wrap .avia-arrow{top:10px;} .html_main_nav_header.html_logo_left #top .main_menu .menu>li:last-child>a{padding-right:0;} .main_menu .avia-bullet{display:none;} .avia-bullet{display:block;position:absolute;height:0;width:0;top:51%;margin-top:-3px;left:-3px;border-top:3px solid transparent!important;border-bottom:3px solid transparent!important;border-left:3px solid green;} .avia-arrow{height:10px;width:10px;position:absolute;top:-6px;left:50%;margin-left:-5px;-webkit-transform:rotate(45deg);transform:rotate(45deg);border-width:1px;border-style:solid;visibility:hidden;} .avia-menu-fx,#advanced_menu_toggle{-webkit-transition:all 0.3s ease-out;transition:all 0.3s ease-out;} .main_menu a{-webkit-transition:color 0.15s ease-out;transition:color 0.15s ease-out;-webkit-transition:background 0.15s ease-out;transition:background 0.15s ease-out;} @media only screen and (min-width: 768px) and (max-width: 989px){.responsive .main_menu ul:first-child > li > a{padding:0 10px;} .responsive .logo{float:left;} .responsive .logo img{margin:0;} .responsive .av_mobile_menu_tablet .main_menu .avia-menu{display:none;} } @media only screen and (max-width: 767px){.responsive #header_main .inner-container,.responsive .main_menu{position:static;} .responsive #top .logo{position:static;display:table;height:80px!important;float:none;padding:0;border:none;width:80%;} .responsive .logo a{display:table-cell;vertical-align:middle;} .responsive .logo img{height:auto!important;width:auto;max-width:100%;display:block;max-height:80px;} .responsive #header_main .container{height:auto!important;} .responsive .logo img{margin:0;} } #advanced_menu_toggle{position:absolute;border-radius:2px;height:46px;width:46px;line-height:46px;text-decoration:none;text-align:center;right:0;top:50%;margin-top:-23px;z-index:10000;border-style:solid;border-width:1px;font-size:30px;display:none;} @media only screen and (max-width: 989px){.responsive.html_mobile_menu_tablet .main_menu .avia-menu{display:none;} .responsive.html_mobile_menu_tablet .container #advanced_menu_toggle{display:block;} } @media only screen and (max-width: 767px){.main_menu .avia-menu{display:none;} .container #advanced_menu_toggle{display:none;} } } @media print{a,strong{color:black!important;} a{text-decoration:underline;} .container{width:100%;} .container{width:100%;margin:0 auto;} #header_main{border-bottom:0;} nav{display:none;} } @media all{::selection{background-color:#002663;color:#ffffff;} .header_color div,.header_color nav,.header_color span,.header_color a,.header_color img,.header_color strong,.header_color ul,.header_color li{border-color:#1a1346;} .header_color a,.header_color strong,.header_color strong a{color:#1a1346;} .header_color a:hover{color:#1a1346;} .header_color .avia-menu-fx,.header_color .avia-menu-fx .avia-arrow{background-color:#1a1346;color:#ffffff;border-color:#080124;} .header_color .avia-bullet{border-color:#1a1346;} .html_header_top .header_color .main_menu ul:first-child >li > ul{border-top-color:#1a1346;} .header_color .main_menu ul ul,.header_color .main_menu .menu ul li a{background-color:#fecf00;color:#1a1346;} .header_color .main_menu .menu ul li a:hover{background-color:#fecf00;} .header_color .main_menu ul:first-child > li > a{color:#1a1346;} #top .header_color .main_menu .menu ul li>a:hover{color:#1a1346;} .header_color .main_menu ul:first-child > li a:hover,.header_color .main_menu ul:first-child > li.current-menu-item > a,.header_color .main_menu ul:first-child > li.current_page_item > a{color:#1a1346;} #advanced_menu_toggle{background-color:#fecf00;color:#1a1346;border-color:#1a1346;} .avia_desktop #advanced_menu_toggle:hover{background-color:#1a1346;color:#ffffff;border-color:#1a1346;} .header_color .avia-arrow{background-color:#fecf00;} .header_color .avia-bullet{border-color:#1a1346;} #top .header_color a:hover .avia-bullet{border-color:#1a1346;} .container{width:100%;} .responsive .container{max-width:1260px;} #top #header .av-main-nav > li > a{font-size:14px;} } @media all{.WCAG-2-A{display:none!important;} @media (max-width: 767px){::-webkit-scrollbar{-webkit-appearance:none;} ::-webkit-scrollbar-thumb{background-color:rgba(0, 0, 0, .5);border-radius:10px;} ::-webkit-scrollbar-track{border-radius:10px;background-color:#ffffff;} } } @media all{*:focus{outline:1px dotted #808080!important;outline-offset:-2px!important;} .header_color .main_menu ul:first-child>li>a{color:#1a1446;font-family:'roboto-bold';font-size:16px!important;} .html_main_nav_header.html_logo_left #top .main_menu .menu>li:last-child>a{padding-right:13px;} .header_color .main_menu ul:first-child>li>a:hover{background:rgba(255, 255, 255, 0.8)!important;} .menu-item-has-children:hover{background:rgba(255, 255, 255, 0.8);} .main_menu .avia-menu-fx{display:none;} .main_menu .current_page_item a .avia-menu-text{border-bottom:1px solid #1a1446;padding-bottom:6px;} .main_menu .sub-menu,.main_menu .sub-menu li a{background-color:rgba(255, 255, 255, 0.7)!important;border:0;font-size:14px!important;font-family:'roboto-bold'!important;} .main_menu .sub-menu li a:hover{background-color:#e8e8e8!important;} .main_menu li.dropdown_ul_available>a{padding-right:30px!important;} .main_menu li.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:12px;} .main_menu li.dropdown_ul_available>a:hover::after{} #header_main{border:none;background-color:#ffd000;} .logo img{width:250px!important;margin-top:10px;} @media screen and (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 a:focus{outline-offset:-5px!important;} @media screen and (min-width:768px) and (max-width:1024px){.header_color .main_menu ul:first-child>li>a{font-size:12px!important;} } #top .main_menu .av-main-nav ul ul{border:0!important;padding-top:0px;position:static;display:block!important;border-bottom:1px solid #000!important;overflow:hidden;background-color:transparent!important;} #top .main_menu .av-main-nav ul ul li a{padding-left:35px;font-size:12px!important;padding-top:5px;padding-bottom:5px;background-color:rgba(255, 255, 255, 0.7)!important;} #top .main_menu .av-main-nav ul ul li a:hover{background-color:rgba(232, 232, 232, 0.7)!important;} .av-main-nav ul li:last-child>a{border:none!important;} #top .main_menu .av-main-nav ul ul{border-bottom:0px solid #000!important;} } .navbar{display: none!important;} .logo{padding-right:60px!important;} #menu-item-973: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-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;}}