Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+6.5% by 2034)
- 4,800 openings/yr
- High AI exposure
- Median pay $106,000/yr
Occupation · SOC 13-2054.00
Analyze and measure exposure to credit and market risk threatening the assets, earning capacity, or economic state of an organization. May make recommendations to limit risk.
Also called: Analyst · Risk Analyst · Risk Specialist · Securities Analyst · Equity Research Analyst · Risk Manager · Bank and Savings Securities Trader · Bond Analyst · Business Risk Manager · Compliance Risk Manager · Corporate Securities Research Analyst · Credit Risk Analyst
Job family: Business and Financial Operations Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-13-2054-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Independent published positions, read together — not a forecast.
92nd-percentile task overlap — yet about 4,800 openings a year (+6.5% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 95th | 1.0 | |
| AI assistant applicability (Microsoft) High | 78th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs. | 7.7% | |
| Develop or implement risk-assessment models or methodologies. | 2.8% | |
| Draw charts and graphs, using computer spreadsheets, to illustrate technical reports. | 2.4% | |
| Recommend investments and investment timing to companies, investment firm staff, or the public. | 2.1% | |
| Prepare plans of action for investment, using financial analyses. | 1.9% | |
| Produce reports or presentations that outline findings, explain risk positions, or recommend changes. | 1.1% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +6.5% by 2034 |
| Projected annual openings | 4,800 |
| Employment 2024 → 2034 | 60,500 → 64,400 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 190.
What to study: Business, Management, Marketing, and Related Support Services , Mathematics and Statistics . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
The interests and personal qualities O*NET associates with people who do this work.
| Finance | 6.3 | |
| Mathematics/Statistics | 6.1 | |
| Accounting | 3.9 | |
| Business Initiatives | 3.1 | |
| Information Technology | 3.0 | |
| Management/Administration | 3.0 | |
| Office Work | 3.0 | |
| Law | 2.7 |
| Dependability | 6.0 | |
| Attention to Detail | 5.0 | |
| Integrity | 4.0 | |
| Intellectual Curiosity | 3.0 | |
| Cautiousness | 3.0 |
| Conventional | 5.4 | |
| Investigative | 5.0 | |
| Enterprising | 4.9 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $62,270 |
| 25th percentile | $80,280 |
| Median (50th) | $106,000 |
| 75th percentile | $145,020 |
| 90th percentile | $182,310 |
| People employed | 56,320 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Finance and Insurance · Sector | 34,880 | $111,260 |
| Professional, Scientific, and Technical Services · Sector | 6,140 | $113,720 |
| Management of Companies and Enterprises · Sector | 6,030 | $107,730 |
| Insurance Agencies and Brokerages · National industry | 3,050 | $103,740 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1,160 | $99,950 |
| Information · Sector | 1,090 | $104,690 |
| Health Care and Social Assistance · Sector | 860 | $94,050 |
| Educational Services · Sector | 760 | $83,670 |
| Arts, Entertainment, and Recreation · Sector | 580 | $77,540 |
| Direct Health and Medical Insurance Carriers · National industry | 530 | $86,890 |
| Other Services (except Public Administration) · Sector | 400 | $91,210 |
| Manufacturing · Sector | 390 | $111,320 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Finance and Insurance · Sector | 15.34× | 34,880 |
| Insurance Agencies and Brokerages · National industry | 8.43× | 3,050 |
| Management of Companies and Enterprises · Sector | 5.88× | 6,030 |
| Direct Health and Medical Insurance Carriers · National industry | 3.23× | 530 |
| Professional, Scientific, and Technical Services · Sector | 1.56× | 6,140 |
| Utilities · Sector | 1.09× | 230 |
| Information · Sector | 1.03× | 1,090 |
| Arts, Entertainment, and Recreation · Sector | 0.6× | 580 |
Part of the Financial Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Financial Risk Specialists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Financial Risk Specialists show 92nd-percentile AI task overlap — and about 4,800 annual U.S. openings
Financial Risk Specialists show 92nd-percentile AI task overlap — and about 4,800 annual U.S. openings • Financial Risk Specialists rank in the 92nd percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 4,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+6.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $106,000, across about 56,320 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Financial Risk Specialists". https://singulariki.com/roles/role-13-2054-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Financial Risk Specialists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-13-2054-00
Singulariki. (2026). Financial Risk Specialists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-2054-00
@misc{singulariki-role-13-2054-00,
title = {Financial Risk Specialists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-13-2054-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.