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  1. Goldman Sachs15 min

    Perspectives from our UK Technology Degree Apprentices

    Holly, Karina, Martin, Paul, Sephora

    Five diverse apprentices spanning three years of the firm's program discuss how their roles evolved from foundational learning to delivering production-ready projects in fields ranging from trading market data to investment banking technology. Through a robust support system that includes mentors and diversity networks, participants navigate a flat organizational culture that values their insights while balancing rigorous technical exposure with mandatory work-life balance strategies. Ultimately, the cohort endorses the scheme as a transformative alternative to traditional university pathways, highlighting the unique advantage of graduating with an established internal network and hands-on experience in the full software development lifecycle.

  2. Goldman Sachs17 min

    10,000 Small Businesses UK Participants Share Experiences of Time on Programme

    Launched in 2012, this intensive program guided struggling entrepreneurs through a rigorous diagnostic process that identified critical financial leaks and strategic pivots from B2B to B2C models. By pairing founders with growth experts and fostering a transparent cohort of vetted peers, participants transformed their ventures from loss-making entities into cash-positive businesses generating up to £1.5 million in revenue. The initiative delivered a transformative return on investment, enabling companies to hire strategically, secure major capital projects, and establish a lasting support network that continues to drive long-term operational efficiency.

  3. Goldman Sachs17 min

    A Conversation with Chief Information Officer Marty Chavez

    Marty Chavez

    Marty Leverett details a 25-year career trajectory at Goldman Sachs that evolved from a serendipitous biochemistry degree to leading computational trading strategies by leveraging the firm's unique data assets and avoiding the separation of technology from markets. He analyzes how exponential growth in compute power and cloud infrastructure has transformed machine learning from an impractical theory into a vital tool for solving complex financial problems. Beyond his corporate achievements, the discussion highlights his commitment to philanthropy, specifically his leadership in the foundation plan to cure HIV/AIDS and his involvement in the High Line urban development project.