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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"type": "ATS", "id_locale": "2024-65501-en", "job_description": "Leverage cutting-edge technology, programming languages, data visualization tools, and AI/machine learning concepts to improve analytical processes, workflow optimization, and enhance decision-making capabilities Work closely with cross-functional teams, such as portfolio managers, traders, and risk managers, to provide analytical solutions Collect, analyze, utilize advanced statistical techniques and interpret fixed-income market data to support investment strategy Proactively seek opportunities for upgrading our capabilities and skills, ensuring that the team stays at the forefront of the fixed-income analytics field by embracing the latest industry best practices, technologies, and methodologies Stay abreast of industry trends, market developments, and technologies related to fixed-income and analytics Manage multiple projects simultaneously, ensuring timely completion and high-quality deliverables while maintaining attention to detail and accuracy Numerate self-starter with strong attention to detail and a passion for learning. Bachelor's degree required. 3+ years of experience in portfolio analysis or investment management with a focus in programming, analytics & BI reporting within a fixed income environment preferred Experience with machine learning and artificial intelligence algorithms and their applications in financial analysis, and the use of GPT models for advanced problem solving Strong knowledge of statistical methods and their practical application in financial analysis Proficiency in programming languages such as Python, R, VBA, and SQL Tenacious problem-solving skills, with a focus on efficiency and effectiveness Experience with Blackrock's Aladdin investment platform, Bloomberg and Macrobond is preferred A keen interest in Investments and desire to dive into the intricacies of Fixed Income. Excellent communication skills, ability to work well in a team and under pressure", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618499528284", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618499964602, "name": "2025 Graduate Data Science Summer Internship Program", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1729864440, "t_create": 1724430600, "ats_job_id": "65870", "display_job_id": "2024-65870", "type": "ATS", "id_locale": "2024-65870-en", "job_description": "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. Description Data Science Graduate Level Internship It's a data-driven world. Be part of a growing community of data science professionals that harness the power of data to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward. The details Calling all aspiring data scientists! Here's the perfect opportunity to grow your knowledge and skills in key areas such as cloud computing, machine learning, and various modeling techniques and software. In the 11-week Data Science Graduate Level Internship, you'll build robust models and use statistical software, such as R, Python, and SAS, to solve critical business problems in product management, claims, distribution, marketing, HR, legal, finance, and other business functions. At the conclusion of your summer internship, you'll deliver a presentation of your work and skills to your colleagues and the data science management team. The Data Science Graduate Level Internship may be your first step toward pursuing a rewarding career at Liberty Mutual, one of the leading property and casualty insurers in the United States. Our interns often transition into full-time opportunities at our Boston office. Qualifications What you've got You possess proven statistical, mathematical, computational, and analytical skills, which you are acquiring through the pursuit of a Master's degree or Ph.D. in Mathematics, Statistics, Economics, Operational Research, Computer Science, or a related field. You have completed doctoral qualifying exams (preferred). You have a record of academic achievement. You demonstrate solid oral, written, communication, and interpersonal skills. You are a whiz at statistical software, such as R, Python, and SAS. Programming skills are highly desirable. About Us This position may have in-office requirements depending on candidate location. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all 45,000 employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. 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://LMI.co/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 San Francisco Los Angeles Philadelphia", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618499964602", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618500155004, "name": "Assistant Director/Director, Data Science Product Management (STP)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1730482680, "t_create": 1725448980, "ats_job_id": "66033", "display_job_id": "2024-66033", "type": "ATS", "id_locale": "2024-66033-en", "job_description": "Assistant Director, Data Science (Grade 17)- $103,400- $188,800 Align to the product strategy. Incorporate stakeholder input into product roadmap while effectively negotiating tradeoffs of conflicting priorities based on value to the business and customer Communicate the product strategy effectively to key stakeholders and team members. Represent voice of the customer and engage with stakeholders to identify critical needs and determine optimal solutions Provide valuation, organization, and prioritization for the DS products Perform ad hoc advanced analytics analyses in support of product capabilities Work day-to-day with the scrum team clarifying business requirements, removing roadblocks, constantly communicating, and gaining alignment around product strategy. Explore technical solutions to support deployment of Data Science products capabilities Inform the identification and prioritization of work to reduce technical debt Partner cross-functionally to support the work of Data Scientists while continuing to learn how to apply technical knowledge to business issues. Partner across functions as needed to coordinate delivery plans, testing, training and support Lead problem resolution as needed to ensure that internal and external customers receive prompt, efficient service. Bachelors or masters degree in quantitative field with 5+ years of related experience within insurance, actuarial, data science or technology product management preferred Prior data science work experience preferred Strong understanding of data science concepts and methodologies Knowledge of data science product deployment Understanding of technology platforms, architecture, or tools used to support modeling Understanding of basic actuarial concepts and other product-specific nuances that impact technical design of modeling products Advanced proficiency in Excel and PowerPoint and familiarity with SAS, SQL, R, Python and other big data and emerging technology tools Prior exposure to advanced ML (CV/NLP) products Prior exposure to Generative AI products preferred but not required Proficient understanding of Insurance industry Underwriting practices and concepts ACAS helpful", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618500155004", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618501141719, "name": "Solaria Labs Data Science Co-op (January - June 2025)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1730467260, "t_create": 1730221200, "ats_job_id": "67006", "display_job_id": "2024-67006", "type": "ATS", "id_locale": "2024-67006-en", "job_description": "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. Description Why you may enjoy working at Solaria Labs: The Data Science co-op will support data science efforts in Solaria Labs in a diverse set of challenges broadly related to public health, safety, and trust. Many of the concepts we develop require novel use of Liberty Mutual and partner data, and the application of current and emerging machine learning techniques to build previously inconceivable product offerings. You will interact with other data scientists and engineering teams to implement your solutions within internal and customer facing software products. You want to be part of a collaborative innovation lab: experience both heads down coding time as well as active participation in ideation and product design. You like exploring emerging Machine learning technologies including natural language processing/understanding and computer vision, and emerging trends like insuretech/fintech and the sharing economy. You are passionate about building and iterating on software prototypes, thrive in an R&D environment, and have a start-up mentality. You enjoy building custom algorithms, digging into data for insights, building engaging interfaces and always looking to sharpen your skills with emerging technology or participating in hackathons and meetups. Qualifications You're good at and offer: Working knowledge of data science and machine learning technologies Aware and excited about new and upcoming machine learning algorithms Ability to exchange ideas and convey complex information clearly and concisely Fluency in Python Location: Solaria Labs, Boston, MA Qualifications: Working towards a Bachelor's, Master's or PhD Degree in Data Science, Engineering, Computer Science, Mathematics or other technical field Strong technical, analytical, communication and organizational skills You have a proven track record of academic success About Us This position may have in-office requirements depending on candidate location. At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession. Liberty Mutual has proudly been recognized as a \"Great Place to Work\" by Great Place to Work\u00ae US for the past several years. We were also selected as one of the \"100 Best Places to Work in IT\" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates--as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-equity-inclusion/ 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://LMI.co/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. 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Deep knowledge of predictive analytic techniques and statistical diagnostics of models Proven ability to lead and drive projects to completion through others, to include prior experience effectively managing talent Exchanges ideas and conveys complex information clearly and concisely, verbally, visually, and in writing, consistent with stakeholders with up to and including SBU/Corp Dept leadership and enterprise wide Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the organization and company Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly Competencies typically acquired through an advanced degree and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree with 10 years of relevant experience. Responsible for management, technical oversight and development for a team of data science and advanced analytics staff, which may include subordinate managers. Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making. Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction. Responsible for highly technical, individualized and difficult to develop tools which are transformative in nature and have broad strategic impact to the aligned business unit. Provides strategic input on highly technically complex projects that drive change across function, SBU or Corporate Department. Directs work through others and may perform highly complex, technical and creative predictive analytics projects. Shapes the data science community and leads cross functional working groups.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501171418", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618500545282, "name": "Assistant Director, Data Science, Solaria Labs", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Data Science", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1728323400, "t_create": 1727258280, "ats_job_id": "66352", "display_job_id": "2024-66352", "type": "ATS", "id_locale": "2024-66352-en", "job_description": "Collaborate with cross-functional teams across the enterprise to develop innovative predictive and generative AI solutions and solve Liberty's most challenging data science problems. Apply a broad range of sophisticated analytic techniques to manipulate large structured and unstructured datasets, generating insights that inform and drive business decisions. Research, design and develop cutting-edge solutions tailored to business needs. Identify and test hypotheses and build models for various 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 clear trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to meet specific client requirements. Guide aspects of project design as a technical consultant, providing expertise on complex components of larger projects. Regularly engage with the data science community and participate in cross-functional working groups. Mentor junior team members and provide training sessions to peers and management. Ability to work EST 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. Breadth of knowledge with feature engineering, traditional machine learning, deep learning, and generative AI. Familiarity with common machine learning frameworks (e.g., scikit-learn, PyTorch, Hugging Face, etc.). Highly skilled in at least one data science discipline (e.g., computer vision, NLP, etc.). Curiosity, ability to learn quickly, and a problem-solving mindset. Demonstrated ability to collaborate with cross-functional teams, interact with business stakeholders to understand business problems, and explain complex concepts clearly and concisely. Knowledge or experience with integrating multiple modalities (e.g., vision, language, audio) for advanced AI solutions. Understanding of DevOps principles and MLOps practices to ensure smooth model deployment, monitoring, and continuous improvement. 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Understand skill gaps and work to close them through training, hiring guidance, and more. Manage talent practices where common business needs exist. Collaborate with teammates and partners to ensure the platform includes meaningful self-paced and classroom training by skill and persona, providing clear paths for development. Adjust offerings based on adoption, effectiveness, and feedback. Communication and Community: Build our community by expanding and coordinating communications and community events (e.g., Town Halls). Own and maintain internal department pages, community sites, newsletters, and scorecards. Prepare executive messaging and broad community communications based on priorities and business needs. May assist with executive presentation materials. Asstistant Director, Data Strategy (STP): $ 121,300 - $169,600. Annual FTO days (Flexible Time Off): 20 Please note this individual will be able to market themselves by the title posted-Data Talent & Communications Leader Experience working in at least one data persona (e.g., Data Strategist, Data Steward, Data Product Owner, Data Solutionist, Data Engineer, etc.) is essential. Experience in developing and coordinating training programs for large organizations. Ability to handle questions independently, applying hypothesis-driven problem-solving to complex challenges. Ability to work EST. 5-7+ years of experience working as a data persona or closely partnering with data personas (e.g., data strategist, data product owner, data solutionist, data steward, data engineer, data scientist, etc.) Strong written and oral communication skills required. Experience in communicating recommendations to senior business leaders preferred. BA/BS, or relevant work experience with upskilling, literacy, and communications within a community of data or data science community. 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Support business agility and technical delivery owners of the platform from the perspective of prioritizing, planning, implementing, and testing both necessary defect fixes and strategic enhancements and setting up new features. Ensure the accuracy, consistency, and integrity of master data globally. Support development of Data Governance Program execution health metrics in support of communicating overall Solution health using quantitative and qualitative data Ensure collaboration and consistency across these teams and in conversations with similar stakeholders Ensure change management and stakeholder communication on MDM changes as applicable. Bachelor's degree in computer science, Information Systems, or related field. Minimum of 10 years of experience in Data Management with 5+ years with master data management product like Informatica MDM. Extensive knowledge of master data management concepts, principles and best practices. Proven experience leading large-scale master data management initiatives in a global enterprise environment. Excellent leadership, communication and interpersonal skills. Ability to collaborate effectively with stakeholders at all levels of the organization. Demonstrated ability to drive results, manage change and adapt to evolving business needs. 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You will employ a multi-faceted approach to deliver foundational data capabilities and have the following responsibilities: Leverage knowledge of private markets, asset management, investment products, data, and technology to create, present, and implement robust and scalable designs aligned with the strategic roadmap. Collaborate with key stakeholders across investments, operations, products, data, and technology to drive the execution of private credit and alternatives data products. Own and manage relationships with implementation partners and third-party vendor platforms. Develop KPIs to evaluate potential implementation partners and third-party vendors, in alignment with the Private Credit vision and data strategy. Define the vision for the private markets data, maintain the product backlog, manage user stories from requirement to acceptance, and participate in agile ceremonies. Collaborate with cross-functional teams to define product requirements, prioritize features, and ensure the successful delivery of outcomes. Create strategic and tactical roadmaps for a portfolio of private markets data solutions, including private credit and alternatives data products, to improve data-oriented decision-making capabilities. Problem-solve data issues by creating current-state and future-state scenarios, identifying gaps, determining paths to resolve issues, prototyping solutions, guiding the data engineering squad to deliver, and driving user acceptance. Grasp new technologies needed to advance initiatives and demonstrate a deep understanding of the business use case. Recommend and implement new or enhanced solutions to better meet stakeholder or customer needs by leading the development of project backlogs and plans, including milestones and dates, and identifying parties and processes impacted by the data solution. Minimum 10 years of experience in asset management and private markets with a focus on data management. Strong leadership and communication skills, as well as the ability to influence key decision-makers and understand their points of view. Strong working knowledge of private markets asset allocation, portfolio management, and investing. A strategic mindset and leadership abilities, coupled with a deep interest in investment management and a creative, action-oriented approach to problem-solving. Experience in private markets with a focus on direct lending and fund structure strategies. Experience with private markets focused vendor platforms in asset management domain. Proven track record of delivering innovative technology solutions to business partners. Solid product management skills utilizing agile methodologies. Experience working within investment teams and understanding how value is created from financial time series data and analytics within the applicable asset classes. Dynamic individual with strategic, hands-on expertise to collaborate directly with businesses. Experience in building data models and/or working with technology teams to create common data models that enable ease in analytics. Must be able to work effectively, leading and providing direction to both your offshore team and teams of data engineers in technology. Understand scalable data concepts, including data design and modeling, as well as working knowledge of Python, SQL, Business Intelligence tools. 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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;}