2026 Skills gap report

Survey: technical skills shortages, hiring, and upskilling needs

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66%
of analytics leaders report a growing skills gap in volatility forecasting and model validation.

Survey: technical skills shortages, hiring, and upskilling needs

Download brochure

The skills gap: are analytics teams prepared for volatility forecasting?

The state of analytics hiring

Hiring pain and technical gaps

66% of analytics leads now say the skills gap is severe or growing. Hiring for volatility forecasting and technical model critique is more difficult than in previous years. Upskilling is now considered a business risk by many executive teams.

A majority of analytics hiring leads say they face a shortage of candidates with the technical skills to address advanced volatility forecasting challenges. The situation has not improved since 2023.

  • 66% Report a moderate or severe skills gap
  • 59% Say hiring is more difficult than last year
  • 52% Rate their team’s technical upskilling needs as urgent

Most organisations now report hiring difficulty for roles demanding advanced volatility analytics and model validation. A minority feel their teams have the technical depth required to challenge or improve legacy models.

How does the programme address the gap?

Is there a skills gap in analytics hiring for volatility forecasting?

  • Severe gap 28%
  • Moderate gap 38%
  • Minor gap 21%
  • No gap 13%

Which analytics roles face the biggest gap?

Roles under pressure

Most hiring leads say the shortage is felt most in model validation, peer review, and technical lead roles. These positions require not only coding skills, but also the ability to challenge assumptions and document evidence.

The gap is most acute in roles that demand scrutiny and critique—model validation, peer review, and technical leadership. Generalist analytics positions are also affected but to a lesser extent.

  • 35% Model validation and audit roles affected
  • 32% Peer review/technical lead roles affected
  • 24% General analytics/quant roles affected
  • 9% Other roles or not specified

Model validators, peer reviewers, and analytics leads are the most affected by the gap. Employers increasingly value candidates who can demonstrate both technical skill and the ability to critique model assumptions.

Programme structure and impact

What roles are affected by the skills gap?

  • Model validation/audit 35%
  • Peer review/technical lead 32%
  • General analytics/quant 24%
  • Other/not specified 9%

What are the most common responses?

Closing the gap

Upskilling is now a continuous process. Clinics, peer review, and external programmes are now part of standard analytics development in leading firms.

Organisations have shifted from one-off training to ongoing upskilling and peer review. Most invest in a mix of internal and external analytics development to retain technical talent and improve outcomes.

  • 47% Support in-house upskilling initiatives
  • 34% Sponsor external analytics programmes
  • 14% Offer technical peer review sessions
  • 5% Take no active measures yet

Most teams respond by supporting ongoing upskilling and peer learning initiatives. In-house clinics and external programmes are becoming standard practice. Organisations that invest in upskilling see improved retention and technical outcomes.

See support and outcomes
How are organisations addressing the gap?
  • In-house upskilling 47%
  • External sponsorship 34%
  • Peer review sessions 14%
  • No active measures 5%
The programme’s impact on career outcomes Alumni outcomes and the skills gap

The gap between technical requirements and available talent continues to widen. In 2026, 93% of programme alumni report that upskilling in machine learning volatility forecasting positively affected their career trajectory—whether through new roles, promotions, or broader responsibilities. This data highlights the value of robust, evidence-based analytics training as a response to changing industry needs.

93% of alumni report a positive impact on their career after upskilling in machine learning volatility forecasting.

Key findings at a glance

Below are the main reasons technical analytics hiring and upskilling have become executive-level issues in Canadian and global organisations.

  • Demand for technical analytics has outpaced supply
  • Upskilling needs are growing year-on-year
  • Peer review and model audit are required skills
  • Industry expects evidence, not just intuition
  • Programmes address both core and advanced gaps
  • Alumni report career impact from upskilling

Do not get left behind

Technical skills in volatility analytics are in demand and the gap is not closing. Don’t wait for another hiring cycle to show the same results. See upcoming dates and contact the team for guidance on your application.

  • Next cohort: Starts September 2026—places are filled on a rolling basis.
  • Enrolment: Admissions are reviewed within three business days.

Visit the application page to check available start dates and application details.

Download the skills gap report

Find out more about the analytics talent gap, hiring trends, and what this means for technical teams in Canada and globally. Download the full research report and see how the landscape has shifted since 2023.
  • Key hiring challenges for analytics teams
  • Widening gap in technical forecasting skills
  • Continuous upskilling requirements
  • How industry expectations have changed
  • Programme impact on closing the gap

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