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Reinforces a culture of creativity and holistic thinking into product and business teams. 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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Relative Value Trading: Leverage expertise in structured finance and quantitative methods to identify and execute relative value trading opportunities that will add trading-based alpha to the CLO and Structured Products portfolios. Strategy Development: Provide market-driven insights to propose specific and actionable recommendations for short and long-term portfolio tilts. Investment Analysis: Collaborate with the CLO team to perform deep manager, deal and portfolio analysis on existing and potential investments; in particular, providing insight into how market risks may offset or compound fundamental risks. Market Intelligence: Develop and maintain relationships with brokers, CLO issuers and other structured products trading desks to stay current on market activity and trade flows. Portfolio Surveillance: As a part of the CLO team, present market updates, portfolio analysis and trade rationales to senior management. Grow exposure to other asset classes: The role will also provide the opportunity to grow the candidate's skillset by providing additional trading support to the Structured Products team for ABS and other structured assets. Educational Background: Bachelor's degree in finance, Economics, or related field; CFA, MBA, or other relevant certifications preferred. 5-8+ years of experience in CLO or structured products trading with a focus on relative value opportunities and credit analysis. Strong background in CLO structures, with cross-sector knowledge in other securitized products such as ABS, RMBS, and CMBS a plus. Expertise in financial modeling and cash flow analysis for structured products. Proficiency in trading platforms and financial data providers (e.g., Bloomberg, Intex, S&P Capital IQ). Advanced Excel skills; experience with programming languages (Python, VBA) is a plus. Strong analytical skills, with the ability to identify and act on relative value opportunities. 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Review outstanding cash and holding reconciliation items for potential material impact. Investigate and escalate discrepancies that exceed predefined thresholds to ensure timely resolution. Maintain comprehensive backup documentation for reconciliation breaks and ensure completeness for monthly close processes. Monitor and enforce Service Level Agreements (SLAs) with internal and external stakeholders to ensure efficiency and effectiveness. Ensure compliance with internal controls, policies, and audit requirements. Analyze trends in discrepancies and recommend process improvements to enhance accuracy and minimize recurrence. Support the development and implementation of reconciliation automation initiatives to optimize operational workflows. Participate in additional daily tasks as required by the Lead or Manager. Bachelor's Degree in Finance, Accounting, Business, or a related field is required. 3-5 years of relevant work experience in Investment Operations or related financial roles. Strong understanding of various investment strategies and products, including private credit. Excellent business acumen and time management skills. Proficiency in Microsoft Office (especially Excel) and a demonstrated ability to learn new applications quickly. Detail-oriented with strong analytical and problem-solving skills. 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Own and evolve a portion of the data strategy roadmap?focused on moderate-to-high complexity areas?by identifying emerging needs, aligning with core capabilities, and adapting the roadmap as priorities shift. Collaborate across Data, Product, and Technology teams to support coordinated execution and ensure solutions remain aligned to the strategic roadmap. Translate complex business and investment requirements into clearly defined data strategies, use cases, and framing documents that drive decision-making and execution. Monitor best-in-class firms and emerging industry trends in asset management data strategy. Curate and socialize learnings with internal teams to influence roadmap direction and inspire new use cases. Act as a compelling storyteller, capable of synthesizing strategic insights and value narratives to gain stakeholder support and shape executive-level decision-making. Develop business cases and ROI models that articulate the value of data investments. Define impact metrics that demonstrate effectiveness and align with enterprise goals. Influence the sequencing and prioritization of data use cases, identifying cross-cutting themes and ensuring strategic, efficient capability build-out. 7-10 years of experience in data strategy, investment operations, analytics, or a related role within asset management, financial services, or insurance. Strong understanding of investment data domains, including portfolio holdings, transactions, classifications, and analytics. Demonstrated ability to translate business needs into data strategy and influence stakeholders across a matrixed organization. Familiarity with enterprise data platforms and tools (e.g., Snowflake, Power BI) and foundational knowledge of data governance or architecture. Excellent communication and storytelling skills, with the ability to synthesize complex ideas into actionable plans for both technical and business audiences. Strong analytical and strategic thinking skills; ability to identify patterns and opportunities across multiple domains and align them with organizational goals. 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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. 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Be the consultative partner, a trusted advisor, advocate, and primary point of contact for all things Relationship Management and DealCloud. Advanced knowledge and expertise with DealCloud and related CRM ecosystems. Track record of implementation with evolving complexities and product capabilities for Relationship Management and DealCloud. Exude entrepreneurial mindset and demonstrated behavior of extreme ownership and self-driven execution, strategic thought leadership, connecting the dots for the Relationship Management and DealCloud ecosystem across stakeholders, product, data and technology. Being comfortable navigating ambiguity, managing conflicting priorities, facilitating challenging conversations. Synthesizes business needs and platform strategy and capability to inform platform roadmap, prioritization with aligned Product Teams, influences roadmaps for aligned Products. Own and maintain the product backlog and is accountable for its contents, prioritization, and acceptance criteria. Accountable for clear, actionable stories. Participates in team demos, presentations, daily stand-ups, sprint planning, retrospectives, etc., and all other Agile framework ceremonies. Sets priorities and actively participates in team planning. Sets expectations with stakeholders for delivery of new capabilities, features, and functionalities. Engagement with data office, championing data implementation and governance. Participates in validation, testing and final approval of features prior to end user acceptance (UAT). Monitors and maintains the product health, supporting long-term product viability and efficiency, and balancing long and short term and costs with desired outcomes. Analyzes feasibility, risk, trade-offs, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product suite. Own and manage the relationship with the DealCloud third party organization. Lead due diligence and evaluation of potential implementation partners, third party vendors, in alignment with the Relationship Management vision and product strategy. Investment Process & Pipeline Management Relationship Management Dashboards, Tear sheets, etc. Executive level analytics, reporting capabilities 10+ years of experience in product management or ownership, with a proven track record in the financial services industry Strong experience with Relationship Management and Private Markets products Ability to set and drive a clear vision and strategy, with a focus on delivering significant user value and achieving business outcomes. Outstanding leadership skills, with the ability to influence and align cross-functional teams and reconcile diverse user needs and priorities. Deep knowledge and experience with Agile frameworks and methodologies, such as Scrum or Kanban, at a leadership level. 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If yes, then join us and be part of a team that's forging the path to data-driven success. Note: This role has a hybrid work arrangement in our Boston, MA office (2x/week) 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. A bachelor's degree in technical or business discipline, or equivalent experience 5+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable data pipelines and architectures Expert-level proficiency in SQL and strong experience with Python for data transformation, automation, and orchestration Deep understanding of data modeling, data warehousing, and data architecture best practices Hands-on Experience with modern public cloud-based data platforms - Snowflake (preferable), AWS, Azure Advanced proficiency in AWS services including (but not limited to): S3, Glue, Lambda, EC2, and Athena Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles Skilled in BI/reporting tools (e.g., Power BI, Tableau) 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, cloud native solutions using AWS, Snowflake, 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. 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Advanced knowledge of Investment systems, prior experience with S&P EDM or other investment enterprise/master data management systems, WSO loan systems/data, and related IBOR/ABOR ecosystems strongly preferred. Master`s degree and CFA designation preferred. High level of proven business expertise needed to inform product priorities aligned to platform and understand business value impacts. 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