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

      Qube Research & Technologies, one of the largest quantitative hedge funds in London, is undertaking an unconventional move for a company heavily reliant on coding: it is recruiting human stock pickers. This decision, reported by Business Insider, aligns the fund with a select few systematic managers who are starting to combine algorithms with traditional conviction.

      Over the past year, Qube has been building an internal team of fundamental analysts, as stated by Business Insider and Hedgeweek. The team is led by Stephen Irvine, a former head of Balyasny’s London office who later established and then closed his own firm, Lijaro Asset Management.

      The analysts are divided by sector, focusing on areas such as consumer goods, financial services, chemicals, technology, pharmaceuticals, transportation, and industrials. Each analyst manages a specific capital allocation between $200 million and $500 million, based on their experience, under the supervision of Irvine.

      Reports indicate that Qube has brought on board at least seven sector specialists for this initiative, sourcing talent from Millennium, Rokos, BNP Paribas, and Barclays. Business Insider, which estimated the firm's assets at about $34 billion at the time of reporting, noted that the first internal team was expected to commence operations shortly thereafter.

      This hiring initiative marks a notable shift from the firm’s origins as a purely signals-and-backtesting entity. Qube emerged from Credit Suisse’s quantitative and systematic asset management division in 2016 and became independent following a management buyout, establishing its reputation on algorithmic trading that focuses on encoding statistical signals into automated systems rather than betting on specific companies.

      This strategy has proven effective, with Qube’s primary fund returning approximately 30% in 2025. Industry reports indicated that the firm's assets had grown to around $38 billion by early 2026, up from approximately $23 billion a year earlier, with smaller funds also performing well.

      Why introduce human analysts? The rationale, common across the industry, is that discretionary managers can identify opportunities that models may overlook, especially concerning complex, unusual events such as mergers, restructurings, and regulatory changes.

      The theory behind integrating these approaches is that it expands the potential range of returns a firm can pursue while also mitigating the periods when a fully systematic strategy encounters difficulties. Additionally, this move provides a second growth avenue at a time when investors are increasingly allocating funds to both quantitative and fundamental strategies, as well as when top analysts can demand significant guarantees to switch firms.

      Qube is not the only entity exploring this crossover. DE Shaw and Engineers Gate, both recognized for their systematic strategies, have ventured into fundamental investing in recent years, and several hedge funds typically known for algorithmic trading have quietly developed discretionary teams.

      Furthermore, the firm has supported external human stock pickers as well. It has invested in or allocated funds to numerous external fundamental teams via separately managed accounts, gaining exposure to discretionary strategies without having to hire every analyst directly. Some reports suggest that the number of these external teams is around 44.

      However, this gamble carries risks. Human teams are costly, they fiercely compete for the same elite analysts, and their performance can negatively impact overall results if their decisions fail.

      Multi-manager competitors like Millennium and Citadel have long demonstrated how expensive and competitive the talent acquisition process can be, and Qube is now entering the same arena as firms such as Jane Street.

      At present, Qube has remained tight-lipped about the initiative. The firm is known for its secrecy and did not provide comments for the reports, with much information coming from unnamed sources and ongoing disclosures from recruiters and rival companies regarding senior hires.

      The future will reveal whether an organization built on technology can effectively manage human talent as well. If Irvine’s analysts succeed, Qube is likely to expand the program; if they falter, the algorithms will continue to operate as they always have. London serves as an ideal setting for this experiment, being home to an extensive pool of both quantitative and fundamental talent.