Graduate Investment Data Analyst - London, United Kingdom - CityGrad

    CityGrad
    CityGrad London, United Kingdom

    2 weeks ago

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    Description

    We are currently looking for 2024 graduates to join one of the most interesting and exciting investment managers in their London office for summer 2024.

    This is an amazing opportunity to kickstart your career in an organisation which has an inclusive culture where the contributions of all our people are recognised and valued.

    In alignment with investor expectations, they are dedicated to cultivating a culture that upholds the principles of diversity, equity and inclusion, alongside delivering financial returnsThe Data Analytics and Business Solutions team is tasked with the capture, validation, manipulation and analysis of various investment-related datasets in order to deliver investment reports, completion of targeted cross-functional projects to improve efficiency and reduce operational risk, implementation of solutions to business process challenges and provision of insights to assist with decision making.

    As such, candidates will gain broad exposure to various functions, teams and senior personnel including those within Investment Management, Operations, Valuation, Risk, Technology and Client Services/Reporting.

    Management of investment attribution data.
    Management of pricing feeds and validationDevelopment of processes to improve efficiency and reduce operational risk.
    Ensuring data requirements of internal and external stakeholders (incl. recurring reports) are completedManagement of cash data and reconciliation for cash forecasting exercises.
    Communication of monthly portfolio projection results to senior management and clients through monthly newsletters and bespoke reports.
    Address ad-hoc portfolio-related analytical requests from investors and senior management.
    Collaboration with the internal tech team in targeted cross-functional projects, offering exposure to different teams and enhancing business efficiency.

    Good IT skills, especially in ExcelSome experience with programming languages such as Python, R, and C# is beneficial but not mandatory.