# Loan Interviewers and Clerks

> Interview loan applicants to elicit information; investigate applicants' backgrounds and verify references; prepare loan request papers; and forward findings, reports, and documents to appraisal department. Review loan papers to ensure completeness, and complete transactions between loan establishment, borrowers, and sellers upon approval of loan.

- **SOC code:** 43-4131.00
- **Canonical URL:** https://singulariki.com/roles/role-43-4131-00
- **Also known as:** Licensed Loan Officer Assistant, Loan Analyst, Loan Processor, Mortgage Loan Processor, Closer, Loan Clerk, Loan Closer, Loan Originator
- **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):
- Verify and examine information and accuracy of loan application and closing documents.
- Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts.
- Record applications for loan and credit, loan information, and disbursements of funds, using computers.
- Submit loan applications with recommendation for underwriting approval.
- Contact customers by mail, telephone, or in person concerning acceptance or rejection of applications.
- File and maintain loan records.
- Contact credit bureaus, employers, and other sources to check applicants' credit and personal references.
- Check value of customer collateral to be held as loan security.
- Interview loan applicants to obtain personal and financial data and to assist in completing applications.
- Prepare and type loan applications, closing documents, legal documents, letters, forms, government notices, and checks, using computers.
- Review customer accounts to determine whether payments are made on time and that other loan terms are being followed.
- Calculate, review, and correct errors on interest, principal, payment, and closing costs, using computers or calculators.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Speaking _(essential_skill)_
- Oral Expression _(ability)_
- Speech Recognition _(ability)_
- Speech Clarity _(ability)_
- Reading Comprehension _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Problem Sensitivity _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Writing _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(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 Windows _(hot technology)_
- Automated financial software
- Automated underwriting software
- Credit reporting software
- Encompass software
- Fannie Mae Desktop Underwriter

## AI exposure & outlook

- **AI task-overlap index:** 96th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 93rd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 85th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 82nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -2.3% growth (Declining); 13.3k annual openings; 177.6k → 173.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $48,950; 173,100 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 24% automation, — augmentation (usage-weighted).
- **Autonomy median:** 2.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Calculate, review, and correct errors on interest, principal, payment, and closing costs, using computers or calculators. _(0.5% of measured AI use; directive)_
- Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts. _(0.4% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me calculate, review, and correct errors on interest, principal, payment, and closing costs, using computers or calculators.
- Help me assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts.

## 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-43-4131-00_