High AI Risk Average

Financial risk specialists

SOC Code: 13-2054

Financial risk specialists carries a 53% AI exposure score (High automation risk), with a median annual wage of $106,000 and +6.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 60,500 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
53% High
High exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+6.5%
Above typical growth
2024–2034 (BLS)
+3,900 jobs
Median Annual Wage
$106,000
Top 10% pay
BLS May 2024
How wage figures are sourced →
The verdict

At 53% AI exposure, Financial risk specialists sits 16 points above the 37.2% average across 832 U.S. occupations - more exposed than 90% of them. Most of its core tasks still require human judgment.

53%
AI exposure
Top 10%
most exposed
+6.5%
Job growth 2024–34
$106,000
Median wage
B-

Career outlook score

65/100

Financial risk specialists, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage A+ $106,000

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth A +6.5%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) F 53% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Financial risk specialists in the High band.

Credential × growth standing

Bachelor's band with mid-pack BLS pace

Financial risk specialists shares the Bachelor's gate with 178 peer occupations and lands in Average (378 of 832). Neither the rarest nor the most crowded growth shelf - use wage and AI desks on this page for the differentiator.

Where Financial risk specialists sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Financial risk specialists sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

53% Higher than most higher than 90% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Financial risk specialists vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Financial risk specialists is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk32.4%46.7%61%75.3%89.6%-5.9%-1.5%2.9%7.2%11.6%AI exposure (%) →Projected growth (%) →Financial risk speci, AI exposure (%) →: 53% · Projected growth (%) →: 6.5%Financial risk speciAccountants, AI exposure (%) →: 87% · Projected growth (%) →: 4.6%AccountantsBusiness operations , AI exposure (%) →: 62% · Projected growth (%) →: 3%Business operations Management analysts, AI exposure (%) →: 42% · Projected growth (%) →: 8.8%Management analystsProject management s, AI exposure (%) →: 42% · Projected growth (%) →: 5.6%Project management sHuman resources spec, AI exposure (%) →: 53% · Projected growth (%) →: 6.2%Human resources specMarket research anal, AI exposure (%) →: 51% · Projected growth (%) →: 6.7%Market research analBuyers, AI exposure (%) →: 35% · Projected growth (%) →: 5.8%BuyersTraining, AI exposure (%) →: 35% · Projected growth (%) →: 10.8%TrainingCompliance officers, AI exposure (%) →: 69% · Projected growth (%) →: 3%Compliance officersFinancial, AI exposure (%) →: 39% · Projected growth (%) →: 5.7%FinancialClaims adjusters, AI exposure (%) →: 55% · Projected growth (%) →: -5.1%Claims adjusters

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

60,500
Employment 2024
64,400
Projected 2034
+6.5%
Change (%)
+3,900
Change (jobs)

Where This Score Comes From

Financial risk specialists's High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 13-2054) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Financial risk specialists be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Financial risk specialists. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
Bachelor's degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Analyze areas of potential risk to the assets, earning capacity, or success of organizations.
  2. 2. Analyze new legislation to determine impact on risk exposure.
  3. 3. Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.
  4. 4. Confer with traders to identify and communicate risks associated with specific trading strategies or positions.
  5. 5. Consult financial literature to ensure use of the latest models or statistical techniques.
  6. 6. Contribute to development of risk management systems.
  7. 7. Determine potential environmental impacts of new products or processes on long-term growth and profitability.
  8. 8. Develop contingency plans to deal with emergencies.
  9. 9. Develop or implement risk-assessment models or methodologies.
  10. 10. Devise scenario analyses reflecting possible severe market events.

Frequently Asked Questions

Will AI replace Financial risk specialists?

Financial risk specialists has an AI exposure score of 53%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Financial risk specialists?

According to BLS Employment Projections 2024-2034, Financial risk specialists is projected to grow by 6.5% over the decade. Current employment stands at approximately 60,500 workers.

What skills are needed for Financial risk specialists?

Financial risk specialists requires a combination of technical knowledge and interpersonal skills. Typical education requirement: Bachelor's degree.

How much do Financial risk specialists earn?

The median annual wage for Financial risk specialists is $106,000, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Financial risk specialists?

The typical entry-level education for Financial risk specialists is Bachelor's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Financial risk specialists?

Financial risk specialists roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

2.6
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Financial risk specialists: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (53% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+6.5% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Financial risk specialists' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.