# Securities, Commodities, and Financial Services Sales Agents

> Buy and sell securities or commodities in investment and trading firms, or provide financial services to businesses and individuals. May advise customers about stocks, bonds, mutual funds, commodities, and market conditions.

- **SOC code:** 41-3031.00
- **Canonical URL:** https://singulariki.com/roles/role-41-3031-00
- **Also known as:** Broker, Equity Trader, Financial Advisor, Financial Consultant, Commodities Broker, Investment Representative, Investments Advisor, Investments Specialist
- **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):
- Make bids or offers to buy or sell securities.
- Monitor markets or positions.
- Agree on buying or selling prices at optimal levels for clients.
- Keep accurate records of transactions.
- Buy or sell stocks, bonds, commodity futures, foreign currencies, or other securities on behalf of investment dealers.
- Complete sales order tickets and submit for processing of client-requested transactions.
- Report all positions or trading results.
- Interview clients to determine clients' assets, liabilities, cash flow, insurance coverage, tax status, or financial objectives.
- Discuss financial options with clients and keep them informed about transactions.
- Identify opportunities or develop channels for purchase or sale of securities or commodities.
- Develop financial plans, based on analysis of clients' financial status.
- Review all securities transactions to ensure accuracy of information and conformance to governing agency regulations.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Oral Comprehension _(ability)_
- Economics and Accounting _(knowledge)_
- Oral Expression _(ability)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Deductive Reasoning _(ability)_
- Mathematics _(knowledge)_
- Sales and Marketing _(knowledge)_
- Monitoring _(essential_skill)_
- Judgment and Decision Making _(transferable_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Mathematics _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Active Learning _(Common Skill)_
- Writing _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Information Ordering _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- C++ _(hot technology)_
- Linux _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Visual Basic _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Java _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 91st percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 84th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 76th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 12th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.3% growth (About average); 38.1k annual openings; 514.5k → 531.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $78,140; 472,300 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-41-3031-00_