Quant pay rises as AI reshapes skills demand

The CQF Institute’s 2026 Careers Guide to Quantitative Finance found pay for quantitative finance roles rose in 2026 as artificial intelligence became more embedded in research, trading, portfolio construction, risk management and technology. Average salary growth was about 3.5% in North America, 4% in Europe and 5% in Asia.

Compensation increased across all six major quantitative career paths between 2025 and 2026. Total pay for some senior positions rose notably: heads of trading in North America can now earn up to $750,000 in total compensation. The guide combines survey responses, recruiter input, faculty perspectives and interviews with practitioners.

Survey respondents reported changes to day-to-day work. Fifty-nine percent said AI had expanded their responsibilities, and 74% expect their roles to undergo a major or complete transformation within five years. Employers reported greater demand for professionals who can apply quantitative methods to live market data, convert research into production systems, and exercise judgement when interpreting outputs from complex models.

Recruiters told the CQF Institute hiring remains strong but more competitive and technically focused. Roles cited as hardest to fill include quant developers, quant researchers and machine learning engineers, reflecting demand for candidates who combine financial domain knowledge with software engineering and machine learning expertise.

The report found a widening skills gap. Eighty-eight percent of respondents reported a shortage of relevant skills in quantitative finance, and 76% said the gap has grown over the past three years. More than four in five respondents said continuous learning is essential for career longevity, and 75% said their current roles require capabilities not taught at university.

Dr Riaz Ahmad, program manager at the CQF Institute, noted that AI has changed what makes quant professionals stand out. He said strong mathematical and technical foundations remain necessary, and employers increasingly value those who can apply skills in production, exercise judgement, work across disciplines and use AI responsibly.

For hedge funds and quantitative investment firms, the guide highlights competition for specialists who can blend mathematics, software development, machine learning and practical investment knowledge. The CQF Institute reports the research draws on original survey data, recruiter insights, faculty perspectives and interviews with industry practitioners to track how roles are changing as AI is integrated into daily operations.