Data Scientist - Sandton, South Africa - Hollard Recruitment

    Hollard Recruitment
    Hollard Recruitment Sandton, South Africa

    4 weeks ago

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    Description

    We are looking for a highly skilled data scientist/analyst to play a pivotal role in enhancing our data architecture and spearheading process automation initiatives. By leveraging advanced analytical techniques, the successful candidate will optimize operational efficiencies, enabling us to efficiently scale and support the growth of our business.

    Key Responsibilities

    Data Management and Architecture:

    • Design / implement / maintain / manage all data storage withing the Hollard environment as well as data flow to/from systems and 3rd party providers i.e. Morningstar, Bloomberg, IRESS, APEX
    • Optimize data storage and retrieval systems to handle large volumes of financial data efficiently.
    • Document and implement data governance processes to ensure data quality,integrity, and compliance with Hollard Group's
    • Understand the investment teams processes, models and reporting requirements. Assess existing systems and data architecture, and then conceptualize & propose potential improvements.

    Data Analysis and Modelling:

    • Utilize statistical techniques, machine learning algorithms, and quantitative analysis to extract insights from financial data.
    • Collaborate with investment team members to automate and refine existing models. Automate calculations, analysis, reporting, and manual processes performed by the investment team.
    • Use data analysis and data-driven approaches to enhance monitoring of investment portfolios and facilitate investment decision-making.

    Data visualization and reporting:

    • Create data visualizations, dashboards, and reports to facilitate client presentation and reporting.
    • Collaborate with investment team members to integrate data-driven insights into investment processes and decision workflows.
    • Recommend and introduce data visualization tools such as Power BI and/or other user-friendly interfaces to allow investment team members to access and interact with data seamlessly.