Onboarding Data Analyst

MSCI Inc. is a leading provider of data, analytics, and indexes that help global investors make better decisions. The Onboarding Data Analyst will be responsible for validating and analyzing data for newly onboarded clients, ensuring accuracy and consistency across platforms, and collaborating with internal teams to maintain data integrity and provide timely reporting.

Responsibilities

• Comprehensive understanding of PCS client platforms (Caissa, Private i, BOT): Navigate, interpret, and compare data across systems with a comprehensive understanding of their structures and functionalities
• Portfolio review and data validation: Conduct thorough reviews of newly onboarded client portfolios and validate financial data to ensure accuracy of core metrics such as TVPI and valuation, identifying and resolving discrepancies
• Client commitment analysis: Assess client linkages across relevant funds to ensure consistency and proper exposure. Apply strong knowledge of fund structures to detect and correct errors. Responsible for ongoing maintenance of the Service Status and Transparency Status dashboards
• NAV reconciliations: Perform detailed NAV analyses, identify inconsistencies, and ensure data accuracy across platforms. Use analytical methodologies - including Commitment/Fund Size, Preferred Cost, and Valuation Ratios - to validate outputs and strengthen reconciliation quality
• Investment tracking proficiency: Demonstrate expertise in methodologies for tracking investments, valuations, and proceeds, ensuring alignment with industry best practices and consistency across asset classes
• Cross-team communication: Collaborate with internal teams to obtain documentation, collect client information, and address topics related to client exposure and linkage. Communicate clearly and professionally to ensure alignment and efficient issue resolution
• Leverage AI-powered tools and platforms daily to streamline data processing, analysis, and decision-making
• Continuously integrate emerging AI capabilities into workflows to automate repetitive tasks and improve service delivery
• Collaborate with cross-functional teams to identify opportunities where AI can accelerate business outcomes and drive innovation

Skills

• Comprehensive understanding of PCS client platforms (Caissa, Private i, BOT): Navigate, interpret, and compare data across systems with a comprehensive understanding of their structures and functionalities
• Portfolio review and data validation: Conduct thorough reviews of newly onboarded client portfolios and validate financial data to ensure accuracy of core metrics such as TVPI and valuation, identifying and resolving discrepancies
• Client commitment analysis: Assess client linkages across relevant funds to ensure consistency and proper exposure. Apply strong knowledge of fund structures to detect and correct errors. Responsible for ongoing maintenance of the Service Status and Transparency Status dashboards
• NAV reconciliations: Perform detailed NAV analyses, identify inconsistencies, and ensure data accuracy across platforms. Use analytical methodologies - including Commitment/Fund Size, Preferred Cost, and Valuation Ratios - to validate outputs and strengthen reconciliation quality
• Investment tracking proficiency: Demonstrate expertise in methodologies for tracking investments, valuations, and proceeds, ensuring alignment with industry best practices and consistency across asset classes
• Cross-team communication: Collaborate with internal teams to obtain documentation, collect client information, and address topics related to client exposure and linkage. Communicate clearly and professionally to ensure alignment and efficient issue resolution
• Leverage AI-powered tools and platforms daily to streamline data processing, analysis, and decision-making
• Strong analytical skills with the ability to interpret and validate large volumes of financial data
• Attention to detail, ensuring that all aggregated data is accurate and consistent
• Ability to work independently and solve problems related to data discrepancies or inconsistencies
• Strong written and verbal communication skills, with the ability to present complex data in a clear and actionable manner
• Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment
• A positive attitude and a strong desire to continuously learn and develop professionally within the finance and securities industry
• Proficiency in Microsoft Excel and Microsoft Word
• Bachelor's degree or expected to graduate within 3 months of hire (all majors considered)

Benefits

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
• Flexible working arrangements, advanced technology, and collaborative workspaces.
• Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
• We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups.

Company Overview

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