Quantitative Analytics, Research & Trading: 2026 Talent Insights

As we look ahead to 2026, the quantitative finance space is experiencing one of its most competitive hiring landscapes yet. Non-compete periods are getting longer, firms are diversifying their strategies, and the demand for machine learning talent is growing across both buy and sell side.

In this video, Alex Morris, Senior Vice President at Selby Jennings London, breaks down the key talent trends shaping the future of quantitative analytics, research, and trading. The insights are also explored in a written summary below.

 

What changed in quants in 2025, and how did that impact hiring?

"One of the biggest shifts in 2025 was the increase in notice and non-compete periods across the buy side. It’s now common for professionals to face 12-month sit-outs, with some clauses stretching to 24 or even 36 months. This has significantly impacted hiring timelines and talent availability, making forward planning essential for firms looking to secure quant talent.

"We also saw growing diversification in trading strategies. Traditional high-frequency trading (HFT) firms began expanding into longer holding periods - hours or even days - while mid-frequency firms started building out market making capabilities. Elsewhere, macro funds have been hiring equity quant profiles to broaden their investment strategies. Digital assets also made a strong return, with renewed hiring demand across the board."

What should firms and professionals prioritise in 2026?

"In today’s market, timing is everything. For firms, the advice is clear: start exploratory conversations before bonus announcements. Candidates generally know what they’re expecting and whether they’re open to new opportunities. Getting ahead of the bonus cycle can be the difference between securing a top quant and missing out.

"Secondly, streamline your interview processes. In what may be the most competitive hiring space globally, extended interview timelines are a major risk. Firms running 8- or 9-round processes often lose out to those who can move faster. Building momentum and acting decisively can significantly increase your chances of success.

"For professionals, being ready to engage in early conversations and knowing your value in this high-demand market will be key to making the most of 2026 opportunities."

How are AI and machine learning reshaping quant roles?

"Demand for AI and machine learning talent soared in 2025. Many firms, on both the buy and sell side, have built centralised AI teams using large language models (LLMs) and internal chatbots to automate processes and reduce operational costs. This trend is set to continue, especially as cost-efficiency becomes a key performance driver.

"Beyond centralised automation, there has been significant growth in applied ML teams, where machine learning and deep learning are being used for desk-specific improvements. From signal generation and alpha research to execution and risk modelling, quant professionals with applied ML experience are increasingly valuable. Firms are now looking for quants who can build and implement these solutions in production environments, not just test them in isolation."

To discuss your hiring plans for 2026 or explore our current quantitative analytics, research and trading opportunities, request a call back or browse open roles.