# Financial Examiners

> Enforce or ensure compliance with laws and regulations governing financial and securities institutions and financial and real estate transactions. May examine, verify, or authenticate records.

- **SOC code:** 13-2061.00
- **Canonical URL:** https://singulariki.com/roles/role-13-2061-00
- **Also known as:** Bank Examiner, Bank Secrecy Act Anti-Money Laundering Officer (BSA/AML Officer), Credit Union Examiner, Examining Officer, Community Reinvestment Act Officer (CRA Officer), Compliance Analyst, Compliance Specialist, Credit Union Field Examiner
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Direct and participate in formal and informal meetings with bank directors, trustees, senior management, counsels, outside accountants, and consultants to gather information and discuss findings.
- Recommend actions to ensure compliance with laws and regulations, or to protect solvency of institutions.
- Prepare reports, exhibits, and other supporting schedules that detail an institution's safety and soundness, compliance with laws and regulations, and recommended solutions to questionable financial conditions.
- Resolve problems concerning the overall financial integrity of banking institutions including loan investment portfolios, capital, earnings, and specific or large troubled accounts.
- Investigate activities of institutions to enforce laws and regulations and to ensure legality of transactions and operations or financial solvency.
- Plan, supervise, and review work of assigned subordinates.
- Review balance sheets, operating income and expense accounts, and loan documentation to confirm institution assets and liabilities.
- Review audit reports of internal and external auditors to monitor adequacy of scope of reports or to discover specific weaknesses in internal routines.
- Examine the minutes of meetings of directors, stockholders, and committees to investigate the specific authority extended at various levels of management.
- Train other examiners in the financial examination process.
- Establish guidelines for procedures and policies that comply with new and revised regulations and direct their implementation.
- Review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Written Comprehension _(ability)_
- Reading Comprehension _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Expression _(ability)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Economics and Accounting _(knowledge)_
- Active Listening _(essential_skill)_
- Writing _(essential_skill)_
- Speaking _(essential_skill)_
- Oral Comprehension _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Writing _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Complex Problem Solving _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Systems Analysis _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Visio _(hot technology)_
- Microsoft Windows _(hot technology)_
- R _(hot technology)_
- SAP software _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 77th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 100th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 84th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 45th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 32nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 18.5% growth (Growing fast); 5.7k annual openings; 65.1k → 77.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $90,400; 62,830 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 25% automation, 67% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact. _(4.6% of measured AI use; learning)_
- Prepare reports, exhibits and other supporting schedules that detail an institution's safety and soundness, compliance with laws and regulations, and recommended solutions to questionable financial conditions. _(0.3% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact.
- Help me prepare reports, exhibits and other supporting schedules that detail an institution's safety and soundness, compliance with laws and regulations, and recommended solutions to questionable financial conditions.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-13-2061-00_