Somewhat Resilient

Last Update: 10/7/2026

AI Resilience Score for Financial Risk Spec.:

45.8%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient financial risk specialist work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For financial risk specialists, 7 of 8 sources had data, and the AI exposure sources were in strong agreement: AI Resilience Model, Anthropic, Microsoft, and OpenAI Signals all rated exposure as Low, meaning AI can handle much of this analysis. Medium demand and pay scores kept the overall score from falling further, landing the role at "Somewhat Resilient."

AI Resilience Report forFinancial Risk Specialists

$117,330 median salary•4,800 annual openings•SOC Code: 13-2054.00

Financial Risk Specialists are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Financial Risk Specialists land in the "Somewhat Resilient" category because AI is already handling a big chunk of the routine work (like building charts, running models, and pulling together data reports), while the more human parts of the job are holding up much better. The tricky part is that banks are cutting back on entry-level analyst positions as automation takes over those starter tasks, so breaking into this field is getting harder.

Learn more about how you can thrive in this position

This role is somewhat resilient

Financial Risk Specialists land in the "Somewhat Resilient" category because AI is already handling a big chunk of the routine work (like building charts, running models, and pulling together data reports), while the more human parts of the job are holding up much better. The tricky part is that banks are cutting back on entry-level analyst positions as automation takes over those starter tasks, so breaking into this field is getting harder.

Read full analysis

Analysis of current AI resilience

Financial Risk Spec.

Updated quarterly

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How can Financial Risk Spec. prepare for AI?

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Latest AI news for Financial Risk Spec.

These articles highlight the evolving landscape for Financial Risk Specialists amid AI advancements. For instance, the piece on AI's impact on finance jobs discusses how routine tasks like modeling and reporting are increasingly automated, pushing specialists toward more strategic roles. Additionally, the CFO's guide emphasizes that AI can enhance risk management, allowing finance leaders to focus on resilience and efficiency. This shift presents an opportunity for future professionals to adapt their skills and thrive in a more analytical and strategic environment, ensuring their relevance in a changing job market.

More Career Info

Career: Financial Risk Specialists

They help companies avoid losing money by analyzing financial data and spotting potential risks in investments and business decisions.

Employment & Wage Data

Median Wage

$117,330

Jobs (2025)

66,000

Growth (2025-35)

+7.4%

Annual Openings

4,800

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

78% ResilienceSupplemental

Confer with traders to identify and communicate risks associated with specific trading strategies or positions.

2

75% ResilienceSupplemental

Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.

3

72% ResilienceSupplemental

Contribute to development of risk management systems.

4

68% ResilienceSupplemental

Analyze areas of potential risk to the assets, earning capacity, or success of organizations.

5

65% ResilienceSupplemental

Determine potential environmental impacts of new products or processes on long-term growth and profitability.

6

62% ResilienceSupplemental

Develop contingency plans to deal with emergencies.

7

60% ResilienceSupplemental

Develop or implement risk-assessment models or methodologies.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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