# Credit Authorizers, Checkers, and Clerks

> Authorize credit charges against customers' accounts. Investigate history and credit standing of individuals or business establishments applying for credit. May interview applicants to obtain personal and financial data, determine credit worthiness, process applications, and notify customers of acceptance or rejection of credit.

- **SOC code:** 43-4041.00
- **Canonical URL:** https://singulariki.com/roles/role-43-4041-00
- **Also known as:** Commercial Credit Reviewer, Credit Investigator, Credit Processor, Credit Representative, Commercial Loan Reviewer, Accounts Receivable Coordinator, Authorizer, Branch Processor
- **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):
- Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards.
- Keep records of customers' charges and payments.
- Compile and analyze credit information gathered by investigation.
- File sales slips in customers' ledgers for billing purposes.
- Obtain information about potential creditors from banks, credit bureaus, and other credit services, and provide reciprocal information if requested.
- Interview credit applicants by telephone or in person to obtain personal and financial data needed to complete credit report.
- Receive charge slips or credit applications by mail, or receive information from salespeople or merchants by telephone.
- Mail charge statements to customers.
- Examine city directories and public records to verify residence property ownership, bankruptcies, liens, arrest record, or unpaid taxes of applicants.
- Relay credit report information to subscribers by mail or by telephone.
- Prepare credit cards or charge account plates.
- Call customers to collect payment on delinquent accounts.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Oral Comprehension _(ability)_
- Mathematics _(knowledge)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Near Vision _(ability)_
- Law and Government _(knowledge)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- Mathematics _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(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 SharePoint _(hot technology)_
- SAP software _(hot technology)_
- Structured query language SQL _(hot technology)_
- Tableau _(hot technology)_
- Email software
- Equifax software

## AI exposure & outlook

- **AI task-overlap index:** 88th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 98th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 86th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 64th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 94th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -6.2% growth (Declining); 1k annual openings; 12k → 11.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $49,130; 11,960 employed.

## 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

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-43-4041-00_