# Loan Officers

> Evaluate, authorize, or recommend approval of commercial, real estate, or credit loans. Advise borrowers on financial status and payment methods. Includes mortgage loan officers and agents, collection analysts, loan servicing officers, loan underwriters, and payday loan officers.

- **SOC code:** 13-2072.00
- **Canonical URL:** https://singulariki.com/roles/role-13-2072-00
- **Also known as:** Commercial Loan Officer, Financial Aid Counselor, Loan Counselor, Loan Officer, Commercial Banker, Corporate Banking Officer, Financial Aid Advisor, Financial Aid Officer
- **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):
- Meet with applicants to obtain information for loan applications and to answer questions about the process.
- Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans.
- Approve loans within specified limits, and refer loan applications outside those limits to management for approval.
- Explain to customers the different types of loans and credit options that are available, as well as the terms of those services.
- Submit applications to credit analysts for verification and recommendation.
- Review loan agreements to ensure that they are complete and accurate according to policy.
- Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information.
- Review and update credit and loan files.
- Work with clients to identify their financial goals and to find ways of reaching those goals.
- Handle customer complaints and take appropriate action to resolve them.
- Supervise loan personnel.
- Stay abreast of new types of loans and other financial services and products to better meet customers' needs.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Reading Comprehension _(essential_skill)_
- Judgment and Decision Making _(transferable_skill)_
- Written Expression _(ability)_
- Near Vision _(ability)_
- Economics and Accounting _(knowledge)_
- English Language _(knowledge)_

**Skills in demand:**
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Mathematics _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Writing _(Common 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 Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle PeopleSoft _(hot technology)_
- SAP software _(hot technology)_
- Zoom _(hot technology)_
- 1003 Uniform Residential Loan Application
- Amortization loan software
- Bankers Systems Rembrandt Lending System

## AI exposure & outlook

- **AI task-overlap index:** 93rd percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 95th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 90th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 79th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 97th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.7% growth (About average); 20.3k annual openings; 301.4k → 306.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $74,180; 290,530 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 22% automation, 64% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Explain to customers the different types of loans and credit options that are available, as well as the terms of those services. _(6.0% of measured AI use; learning)_
- Analyze potential loan markets and develop referral networks to locate prospects for loans. _(0.4% of measured AI use; task iteration)_
- Handle customer complaints and take appropriate action to resolve them. _(0.4% of measured AI use)_
- Market bank products to individuals and firms, promoting bank services that may meet customers' needs. _(0.4% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me explain to customers the different types of loans and credit options that are available, as well as the terms of those services.
- Help me analyze potential loan markets and develop referral networks to locate prospects for loans.
- Help me handle customer complaints and take appropriate action to resolve them.
- Help me market bank products to individuals and firms, promoting bank services that may meet customers' needs.

## 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-13-2072-00_