2026 Skills Gap Report

2026 research on analytics talent, employer needs, and hiring challenges in risk modeling.

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82%

say the analytics skills gap is growing across finance.

2026 research on analytics talent, employer needs, and hiring challenges in risk modeling.

Download report

The skills gap: are you prepared for the impact of AI?

Shortage of analytics talent

Talent shortage across organizations

The analytics talent shortage is most severe for roles involving dimensionality reduction and regularization methods.

Industry leaders consistently cite the growing gap between analytics needs and available talent. This is especially acute for high dimensional risk modeling roles, where demand exceeds supply.

82% Firms experiencing a talent shortage
58% Hiring difficulty for analytics roles
70% Sectors with highest demand: finance, insurance, advisory

The majority of organizations face a shortage of skilled analysts, especially in risk modeling and large portfolio analysis. This drives demand for candidates with technical and applied experience.

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How many organizations report a shortage of advanced analytics talent?

Significant shortage 44%
Moderate shortage 38%
No shortage 10%
Not sure 8%

Evolving analytics roles

Changing analytics roles

Evolving roles demand both technical skill and adaptability.

Roles in financial analytics are shifting, with a greater emphasis on technical mastery and collaborative problem-solving. Teams seek candidates who can manage both data complexity and effective communication.

64% Roles emphasizing technical upskilling
56% Growth in project-based analytics work
48% Teams requiring cross-functional skills

Analytics roles increasingly require adaptability, technical depth, and strong communication skills. Professionals who combine Ketnanseanfaro expertise with advanced methods are better positioned for career progression.

Learn about evolving analytics roles

How are analytics roles evolving in financial organizations?

Much more technical 34%
Somewhat more technical 30%
No major change 20%
Not sure 16%

Hiring pain points

Hiring challenges in analytics

Hiring challenges persist for advanced analytics positions.

Hiring managers report ongoing challenges in filling analytics roles, especially where high dimensional modeling is required. Continuous learning is viewed as essential for maintaining relevant skills.

58% Hiring difficulty for risk analytics
46% Candidates lacking technical depth
61% Need for continuous learning

Hiring remains challenging due to the scarcity of qualified candidates with both technical and applied experience. Upskilling through advanced analytics programmes is a key solution to bridge this gap.

See how the programme addresses the gap

What challenges do organizations face in hiring for analytics?

Very difficult 31%
Somewhat difficult 27%
Not difficult 22%
Not sure 20%

Bridging the gap with upskilling

Upskilling and lifelong learning

Upskilling is essential for closing the analytics gap.

Continuous upskilling and targeted professional development are now the norm in analytics. Alumni and employers agree that real-world experience and updated resources matter most for keeping skills current.

94% Alumni upskilled through advanced analytics
73% Ongoing upskilling required
68% Preference for practical, hands-on learning

Continuous upskilling and access to updated resources are viewed as the most effective strategies for bridging analytics skills gaps. Programmes focused on high dimensional risk modeling provide targeted preparation for today’s market.

Discover how to upskill with the programme

How do professionals address the skills gap in analytics?

Continuous upskilling 41%
Occasional upskilling 32%
Rarely upskill 16%
Never upskill 11%

Analytics upskilling: the career impact Alumni career impact and industry demand

A recent survey of alumni shows that upskilling in dimensionality reduction, regularization, and transparent analytics leads to clear professional benefits. The majority report improved job performance and new career opportunities after completing advanced analytics programmes. These skills are increasingly sought by employers facing a shortage of talent for complex financial analysis.

94% of alumni report a positive impact on their career from advanced analytics upskilling.

Report highlights at a glance

This report summarizes industry survey findings, skills shortages, and emerging opportunities in analytics for large portfolio risk modeling.

Survey of 500+ financial professionals
Analysis of evolving analytics roles
Hiring challenges in risk modeling
Key technical skills employers seek
Upskilling and lifelong learning trends
Regional differences in analytics demand
Recommendations for bridging the gap

Stay ahead of the curve

Secure your place early and access tailored support throughout the process. The team is available to answer questions about application steps, eligibility, and how the programme helps address the analytics skills gap.

Be ready: Next intake begins September 2026.
Ask the team: Contact advisors for eligibility and application guidance.

Watch a sample lectures to see how our faculty approach real analytics cases.

Download the 2026 Skills Gap Report

Find out more about analytics talent trends, industry needs, and how advanced risk modeling skills can improve your career prospects. The report includes survey findings, market insights, and recommendations for analytics professionals.

Survey results on analytics skills shortages
Trends in financial analytics hiring
Employer expectations and desired skills
Continuous learning and upskilling needs
Regional differences in talent availability

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Ketnanseanfaro Report for 2026 Analytics Report

Analytics skills gap and careers