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Singulariki

Financial Risk Specialists

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

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-13-2054-00/context.md directly.

AI work map

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.

92nd-percentile task overlap — yet about 4,800 openings a year (+6.5% projected, BLS) . What exposure means →

AI & job outlook

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.

Exposure to current AI

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.

How AI is actually used in this job

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%

Job outlook

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.

Tasks

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.

Work activities

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Power BI Business intelligence and data analysis software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Python Object or component oriented development software Hot technology In demand
R Object or component oriented development software Hot technology In demand
Structured query language SQL Data base user interface and query software Hot technology In demand
Tableau Business intelligence and data analysis software Hot technology In demand
Amazon Web Services AWS software Data base user interface and query software Hot technology
Apache Hive Data base management system software Hot technology
Atlassian JIRA Content workflow software Hot technology
C++ Object or component oriented development software Hot technology
Google Docs Word processing software Hot technology
IBM SPSS Statistics Analytical or scientific software Hot technology
Intuit QuickBooks Accounting software Hot technology
Linux Operating system software Hot technology
Marketo Marketing Automation Sales and marketing software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Azure software Development environment software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Project Project management software Hot technology
Microsoft SharePoint Document management software Hot technology
Microsoft SQL Server Data base user interface and query software Hot technology
Microsoft SQL Server Reporting Services SSRS Data base reporting software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Visual Basic Development environment software Hot technology
Microsoft Visual Basic for Applications VBA Development environment software Hot technology
Microsoft Word Word processing software Hot technology
Oracle Database Data base user interface and query software Hot technology
Oracle PeopleSoft Enterprise resource planning ERP software Hot technology
Oracle Primavera Enterprise Project Portfolio Management Project management software Hot technology
Perl Object or component oriented development software Hot technology
PyTorch Data base user interface and query software Hot technology
Ruby Development environment software Hot technology
Salesforce software Customer relationship management CRM software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
SAS Analytical or scientific software Hot technology
ServiceNow Data base user interface and query software Hot technology
TensorFlow Analytical or scientific software Hot technology
Teradata Database Data base management system software Hot technology

Showing the top 40 of 190.

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

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.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

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

Work styles

Dependability 6.0
Attention to Detail 5.0
Integrity 4.0
Intellectual Curiosity 3.0
Cautiousness 3.0

Career interests (Holland / RIASEC)

Conventional 5.4
Investigative 5.0
Enterprising 4.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$62k10th$80k25th$106kMedian$145k75th$182k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
61k202464k2034 (proj.)+6.5% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $62,270
25th percentile $80,280
Median (50th) $106,000
75th percentile $145,020
90th percentile $182,310
People employed 56,320

Industries that employ this occupation

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

Where this work is most concentrated

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.

Exposure quadrant: AI task-overlap percentile vs Median pay Financial Risk Specialists sits at the 92nd percentile of AI task-overlap and the 87th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Financial Risk Specialists Financial Examiners Financial Managers Credit Analysts Securities, Commodities, and Financial Services Sales Agents AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

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.

Write a report on thisheadline · factoids · citation

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)
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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.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

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.

Sources for this page

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.

Cite this page
Plain

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

APA

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

BibTeX
@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.

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