Quant fund Qube is bringing on human stock pickers to work alongside its algorithms.

      Qube Research & Technologies, one of the largest quantitative hedge funds in London, is taking a step that would have seemed revolutionary for a firm reliant on algorithms: it is hiring humans to select stocks.

      As reported by Business Insider, this decision positions the fund among a select group of systematic managers who are starting to merge algorithms with traditional investment conviction. Qube has dedicated much of the past year to assembling an internal team of fundamental analysts, as stated by Business Insider and Hedgeweek. Leading this group is Stephen Irvine, a former head of Balyasny’s London office, who later created and then dissolved his own firm, Lijaro Asset Management.

      The analysts are structured by sector, focusing on areas such as consumer goods, financial services, chemicals, technology, pharmaceuticals, transportation, and industrials. Each analyst manages a specific segment of capital valued between $200 million and $500 million, depending on their experience, under Irvine's supervision.

      Qube has brought on at least seven sector specialists for this initiative, recruiting talent from firms like Millennium, Rokos, BNP Paribas, and Barclays, according to the reports. Business Insider noted that the firm’s assets were approximately $34 billion when they outlined this plan, and the initial internal team was expected to start operating shortly after the report.

      This recruitment initiative marks a significant shift from the firm’s beginnings as a pure signals-and-backtesting entity. Qube was established in 2016 from Credit Suisse’s quantitative and systematic asset management division and became independent after a management buyout, gaining recognition for its algorithmic trading, which primarily relied on statistical signals encoded into automated systems rather than investing in specific companies.

      This approach has proven successful, with Qube’s main fund returning roughly 30% in 2025, and industry reports indicated that the business had grown to around $38 billion in assets by early 2026, an increase from approximately $23 billion a year prior, with smaller funds also performing well.

      So, why the addition of human analysts? The reasoning, which resonates throughout the industry, is that discretionary managers can identify opportunities that models might overlook, particularly in complex, one-off events like mergers, restructurings, and regulatory changes. The theory suggests that integrating both methods expands the range of potential returns and mitigates the difficulties experienced by a purely systematic approach. It also provides a dual avenue for growth at a time when investors are increasingly investing in both quantitative and fundamental strategies, particularly as top analysts demand high guarantees to join their teams.

      Qube is not the only firm exploring this crossover. DE Shaw and Engineers Gate, both recognized for systematic strategies, have ventured into fundamental investing in recent years, and several hedge funds traditionally associated with algorithmic approaches have subtly developed discretionary units.

      Additionally, Qube has supported external human stock pickers by seeding or allocating resources to numerous external fundamental teams through separately managed accounts, allowing it to gain exposure to discretionary strategies without employing every analyst on its payroll. Some reports suggest that the number of external teams is around 44.

      However, this strategy comes with risks. Human teams are costly, compete intensely for top talent, and can negatively impact performance if their judgments do not pan out. Competing multi-manager firms like Millennium and Citadel have long demonstrated how expensive and competitive the talent acquisition can be, and Qube is now entering the same arena as firms like Jane Street.

      Currently, Qube has remained tight-lipped about the transition. The firm is known for its secrecy and did not provide comments in the reports; much of the information available comes from unnamed sources and a consistent stream of senior appointments announced by recruiters and rival firms.

      The next phase will determine if a company built on automated systems can effectively manage human employees. If Irvine's analysts succeed, Qube may expand the initiative; if they falter, the algorithms will continue to operate as usual. London remains an ideal location for this experiment, being home to Europe's richest pool of both quantitative and fundamental talent.