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. 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Support investment diligence from start to finish, performing comprehensive analysis and financial modeling on equity direct/co-investments and fund commitments. Effectively screen new opportunities, identifying and succinctly communicating the most relevant investment highlights and key risk considerations. Support the development of investment committee materials (complete with financial projections) and help present the team's investment recommendations to internal investment committees. Actively monitor existing investments; provide detailed updates to team members during scheduled portfolio reviews and on an ad-hoc basis as needed. Collaborate cross-functionally with additional LMI teams including Legal, Finance, Accounting, and Risk Management to execute transactions and manage the portfolio. 1 - 3 years of relevant work experience in private equity, investment banking, or consulting Excellent written and verbal communication; can clearly articulate relevant key learnings and insights derived during investment diligence. Strong interpersonal skills; comfortable with consensus decision-making and working in a collaborative, team-based environment. Proficient in Excel modeling and PowerPoint presentation development Self-starter with a willingness to be flexible and take on additional responsibilities depending on the needs of the business. Ability to manage multiple responsibilities and time-sensitive deliverables with a high degree of quality and accuracy. 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Contribute to the formulation and presentation of high-conviction investment ideas for both sector allocation and security selection to enhance risk-adjusted returns. Collaborate with trading, research, and risk teams to support the execution of LMI's securitized investment strategies, ensuring alignment between market views, portfolio positioning, and risk management objectives. Partner with portfolio managers and traders to help implement investment strategies and support communication of views and positioning to senior leadership and other key stakeholders. Apply analytical techniques to large datasets, assisting in the development and maintenance of cash flow models to evaluate prepayment behavior, credit risk, and asset performance. Participate in investment due diligence and support the ongoing monitoring of existing positions to identify emerging risks and performance drivers. Contribute to the development and enhancement of tools, models, and systems to improve investment analysis and portfolio management. Leverage data and technology to drive process efficiency and deeper insights. Begin building relationships with market participants, including issuers, rating agencies, bankers, and institutional investors, to stay up to date on market developments and uncover new investment opportunities. Bachelor's degree in Finance, Economics, Mathematics, Engineering, or a related field. Advanced degrees or professional certifications (such as the CFA) are a plus. 1-3 years of relevant professional experience in investments, finance, or data analysis. Prior experience in fixed income or structured products is a strong plus. Strong analytical and quantitative skills with experience in financial modeling and data analysis. Advanced Excel skills are required. Familiarity with Python, SQL, or other data tools is a plus. 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The role is responsible for designing, maintaining, modifying, testing, resolving bugs, and enhancing existing functionality. The role is seen as a technical expert with strong business knowledge that can effectively analyze complex business and technical problems and provides solutions. Partner in defining requirements, shaping model design, and guiding the development and enhancement of models that meet evolving organizational needs. Assist in efforts to ensure Anaplan models effectively support investment finance functions which include forecasting, budgeting, expense modeling, and long-range planning. Support our Alternative Investment teams in defining and implementing Anaplan use cases for modeling cashflows, investment compliance monitoring and valuation and performance models. Responsible for working in a team to design and guide cross-functional alignment of Anaplan with LMI's investment and finance organizations. Leverage expertise in investment platforms and core data sets supporting the Investment Book of Record (IBOR) and Accounting Book of Record (ABOR) across the investment lifecycle for both public and private asset classes. Demonstrate general knowledge and understanding of the function and use of key technology platforms including BlackRock Aladdin, SimCorp Dimension, eFront, Cobalt, PowerBI and Snowflake. Support data sourcing and extraction by leveraging integration methods such as Anaplan Connect, APIs, and ETL tools to enable seamless data flow into and out of Anaplan models. Leverage knowledge of investment management processes and data - particularly in fixed income and alternative asset classes such as structured credit, direct lending, and private equity. Demonstrate knowledge of key activities and responsibilities within a finance organization at an investment manager. Facilitate discovery sessions with senior stakeholders to gather business requirements and translate them into actionable and scalable solutions. Demonstrated eagerness to continually enhance knowledge and expertise within Anaplan and other investment applications and processes. Contribute to development of applications as part of an Agile Scrum team within a scaled Agile framework, collaborating closely with cross-functional stakeholders to deliver iterative value. Analyze and prepare complex technology enabled recommendations to address gaps within a single business process. Develop complex test scripts and assist with coordinating and researching testing defects Generally, 5+ years of professional experience Three to five years of professional experience with Anaplan for financial planning + experience in alternative investment Anaplan use cases a plus Anaplan Model Builder certification a plus Bachelor or Master`s degree in technical or business discipline or equivalent experience Strong negotiation, facilitation and consensus building skills Strong oral and written communication skills; presentation skills Extensive knowledge of the following: IT concepts, strategies, methodologies Versed in diverse technologies and new technical architecture principles and concepts Extensive knowledge in layered systems architectures solutions and designs and shared software concepts Business function(s) and I/T industry business issues; extensive knowledge of business operations, strategies and objectives Strong in multiple programming languages and tools Extensive understanding of agile software development concepts and processes Must be proactive, demonstrate initiative and be a logical thinker Extensive 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 Extensive understanding of backlog tracking, burndown metrics, and incremental delivery Strong collaboration, prioritization, and adaptability skills required", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504557197", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505331615, "name": "Senior Actuarial Analyst, Small Commercial Indications", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Chicago, Illinois, United States", "New York, New York, United States", "Plano, Texas, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1751556840, "t_create": 1751349360, "ats_job_id": "71050", "display_job_id": "2025-71050", "type": "ATS", "id_locale": "2025-71050-en", "job_description": "Drive Small Commercial Auto indication process and deliver results to senior leadership and product partners. Perform on-leveling incorporating various model versions, and continuously upgrade methodologies / process for model updates. Quantify mix shift impacts and incorporate in the indication. Collaborate with team members in LDF and trend analysis, and deep dives on profitability drivers to better understand indication results. Maintain and continuously improve rate indication processes and checks. Write, maintain, and improve code for granular database. Partner with other teams on profitability and trend insights. Provide clear and concise communication of actuarial work to technical and non-technical stakeholders. If applicable, positive progress towards pursuing and passing of required actuarial exams. 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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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. 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