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Financial Managers

Occupation · SOC 11-3031.00

Plan, direct, or coordinate accounting, investing, banking, insurance, securities, and other financial activities of a branch, office, or department of an establishment.

Also called: Banking Center Manager (BCM) · Branch Manager · Credit Administration Manager · Financial Center Manager · Accounting Supervisor · Business Banking Manager · Credit Manager · Financial Planning Manager · Financial Reporting Manager · Financial Systems Manager · ATM Manager (Automated Teller Machine Manager) · Accountant Supervisor

Job family: Management Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-11-3031-00/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.

81st-percentile task overlap — yet about 74,600 openings a year (+14.8% 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
Overall AI exposure (Felten et al.) High 98th 1.4
LLM task exposure, γ (OpenAI / Eloundou) High 88th 1.0
AI assistant applicability (Microsoft) Moderate 50th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), 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.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.1 · 25th percentile among occupations · Low

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.

Develop or analyze information to assess the current or future financial status of firms. 8.0%
Evaluate financial reporting systems, accounting or collection procedures, or investment activities and make recommendations for changes to procedures, operating systems, budgets, or other financial control functions. 1.8%
Review reports of securities transactions or price lists to analyze market conditions. 0.6%
Review collection reports to determine the status of collections and the amounts of outstanding balances. 0.6%
Examine, evaluate, or process loan applications. 0.5%
Prepare operational or risk reports for management analysis. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Growing fast · +14.8% by 2034
Projected annual openings 74,600
Employment 2024 → 2034 868,600 → 997,400

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

43% mean task exposure (2025)
80th percentile of 427 placed occupations
+6 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Financial and Insurance Services Branch managers · 1346 47% Gradient 2
Finance Managers · 1211 37% Minimal

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 21 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

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 4.7
Administration and Management 4.3
Economics and Accounting 4.1
Mathematics 3.7
Administrative 3.7
Law and Government 3.6
Personnel and Human Resources 3.5
Sales and Marketing 3.4
English Language 3.3
Education and Training 3.3

Abilities

Oral Comprehension 4.1
Written Comprehension 4.1
Oral Expression 4.1
Deductive Reasoning 4.0
Speech Clarity 4.0
Written Expression 3.9
Problem Sensitivity 3.9
Inductive Reasoning 3.9
Information Ordering 3.8
Near Vision 3.8
Speech Recognition 3.8
Mathematical Reasoning 3.5
Number Facility 3.5
Fluency of Ideas 3.4

Essential skills

Reading Comprehension 4.0
Active Listening 4.0
Speaking 4.0
Critical Thinking 4.0
Writing 3.8
Monitoring 3.8
Mathematics 3.5
Active Learning 3.5

Transferable skills

Social Perceptiveness 3.6
Coordination 3.6
Service Orientation 3.6
Complex Problem Solving 3.6
Judgment and Decision Making 3.6
Time Management 3.6
Management of Personnel Resources 3.6
Persuasion 3.4

Skills in demand

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 56.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
SAP software Enterprise resource planning ERP software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Alteryx software Business intelligence and data analysis software Hot technology
IBM SPSS Statistics Analytical or scientific software Hot technology
Intuit QuickBooks Accounting software Hot technology
Marketo Marketing Automation Sales and marketing software Hot technology
Microsoft Access Data base user interface and query 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 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 Windows Operating system 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
R Object or component oriented development software Hot technology
Salesforce software Customer relationship management CRM software Hot technology
SAS Analytical or scientific software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
Tableau Business intelligence and data analysis software Hot technology
Teradata Database Data base management system software Hot technology
Workday software Enterprise resource planning ERP software Hot technology
Yardi software Data base user interface and query software Hot technology
Accounts receivable software Accounting software
ADP Workforce Now Human resources software
ARES Corporation PRISM Project Estimator Financial analysis software
Blackbaud The Raiser's Edge Customer relationship management CRM software
Credit management software Financial analysis software
Database software Data base user interface and query software
Delphi Technology Financial analysis software
FileMaker Pro Data base user interface and query software
Fund accounting software Accounting software
Healthcare common procedure coding system HCPCS Medical software

Showing the top 40 of 64.

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 5.0
Face-to-Face Discussions with Individuals and Within Teams 4.9
Work With or Contribute to a Work Group or Team 4.8
Indoors, Environmentally Controlled 4.7
Importance of Being Exact or Accurate 4.7
Telephone Conversations 4.6
Time Pressure 4.5
Work Outcomes and Results of Other Workers 4.5
Impact of Decisions on Co-workers or Company Results 4.5
Determine Tasks, Priorities and Goals 4.4
Spend Time Sitting 4.4
Importance of Repeating Same Tasks 4.4
Frequency of Decision Making 4.3
Contact With Others 4.2
Freedom to Make Decisions 4.1
Coordinate or Lead Others in Accomplishing Work Activities 3.8
Written Letters and Memos 3.5
Level of Competition 3.4
Deal With External Customers or the Public in General 3.3
Conflict Situations 3.1
Health and Safety of Other Workers 3.0
Consequence of Error 3.0
Degree of Automation 2.8
Physical Proximity 2.7
Public Speaking 2.6
Dealing With Unpleasant, Angry, or Discourteous People 2.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.6
Spend Time Making Repetitive Motions 2.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.3
Spend Time Standing 2.0
Spend Time Walking or Running 1.6
Exposed to Contaminants 1.6
In an Enclosed Vehicle or Operate Enclosed Equipment 1.4
Outdoors, Exposed to All Weather Conditions 1.4
Dealing with Violent or Physically Aggressive People 1.4
Outdoors, Under Cover 1.3
Spend Time Bending or Twisting Your Body 1.2
Exposed to Very Hot or Cold Temperatures 1.2
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.1

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 , Multi/Interdisciplinary Studies . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 56.3%
Post-Baccalaureate Certificate 21.0%
High School Diploma 14.2%
Some College Courses 4.6%
Associate's Degree (or other 2-year degree) 3.9%

Interests & work styles

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

Career interests (Holland / RIASEC)

Enterprising 7.0
Conventional 5.6
Social 3.0

Interest areas

Finance 6.8
Management/Administration 6.6
Business Initiatives 6.0
Accounting 5.1
Office Work 5.0
Sales 3.5
Human Resources 3.3
Public Speaking 3.1
Mathematics/Statistics 2.7

Work styles

Dependability 6.0
Attention to Detail 5.0
Integrity 4.0
Cautiousness 3.0

Wages & employment

U.S. · annual wages (BLS OEWS)

869k2024997k2034 (proj.)+14.8% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $86,490
25th percentile $118,360
Median (50th) $161,700
75th percentile $214,210
90th percentile
People employed 818,620

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 255,610 $164,940
Professional, Scientific, and Technical Services · Sector 115,660 $171,580
Management of Companies and Enterprises · Sector 93,210 $169,340
Manufacturing · Sector 47,180 $160,660
Wholesale Trade · Sector 35,120 $156,940
Health Care and Social Assistance · Sector 33,910 $136,680
Administrative and Support and Waste Management and Remediation Services · Sector 30,560 $155,870
Educational Services · Sector 30,460 $131,860
Information · Sector 23,260 $187,400
Real Estate and Rental and Leasing · Sector 21,450 $166,490
Construction · Sector 19,110 $139,680
Retail Trade · Sector 19,020 $137,390

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
Other Electric Power Generation · National industry 13.49× 250
Finance and Insurance · Sector 7.73× 255,610
Management of Companies and Enterprises · Sector 6.25× 93,210
Solar Electric Power Generation · National industry 3.78× 280
Insurance Agencies and Brokerages · National industry 2.83× 14,900
Direct Health and Medical Insurance Carriers · National industry 2.75× 6,550
Wind Electric Power Generation · National industry 2.09× 110
Professional, Scientific, and Technical Services · Sector 2.02× 115,660

Part of the Management & Entrepreneurship career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Financial Managers sits at the 81st percentile of AI task-overlap and the 99th 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 Managers Financial Examiners Credit Analysts Bookkeeping, Accounting, and Auditing Clerks Securities, Commodities, and Financial Services Sales Agents Financial Risk Specialists Loan Officers 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 Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 80th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Financial Managers show 81st-percentile AI task overlap — and about 74,600 annual U.S. openings

  • Financial Managers rank in the 81st 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 74,600 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 growing fast (+14.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $161,700, across about 818,620 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Financial Managers show 81st-percentile AI task overlap — and about 74,600 annual U.S. openings

• Financial Managers rank in the 81st 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 74,600 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 growing fast (+14.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $161,700, across about 818,620 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Financial Managers". https://singulariki.com/roles/role-11-3031-00
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 Managers." 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-3031-00

APA

Singulariki. (2026). Financial Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3031-00

BibTeX
@misc{singulariki-role-11-3031-00,
  title  = {Financial Managers},
  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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-11-3031-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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