54
/100

SOC 13-2054

Financial Risk Specialists

ElevatedFrey/Osborne: 58.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

56,320

Total workers

Median Wage

๐Ÿ’ฐ

$106K

$62K โ€“ $182K

Projected Growth

๐Ÿ“ˆ

+6.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Financial Risk Specialists face a risk score of 54/100 โ€” 10 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $106K ($60K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 54/100, Financial Risk Specialists faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 56,320 workers in this occupation should focus on strengthening skills in stakeholder management in complex organizational settings and ethical judgment in fiduciary and advisory roles to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Financial Risk Specialists?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

Generative AI producing marketing and creative copy

3

Algorithmic trading and AI portfolio management

4

AI summarization replacing manual report compilation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Stakeholder management in complex organizational settings

โœ“

Ethical judgment in fiduciary and advisory roles

โœ“

Strategic advisory requiring deep client relationship knowledge

โœ“

Crisis financial decision-making under uncertainty

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

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

โ€ข

Analyze new legislation to determine impact on risk exposure.

โ€ข

Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.

โ€ข

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

โ€ข

Consult financial literature to ensure use of the latest models or statistical techniques.

๐Ÿ’ป Technology Skills

โ€ข

Human resources software

โ€ข

Financial analysis software

โ€ข

Data base user interface and query software

โ€ข

Analytical or scientific software

โ€ข

Data base management system software

๐Ÿ“Š vs National Average

Median Wage$106K
+$60K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth6.5%
+2.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K61%
Lawyers, Judges, and Related Workers17$144K59%
Architectural and Engineering Managers23$168K67%