学习切入点
这一类覆盖交易前合规、交易执行、订单生命周期、交易后合规、清算交收、保证金、交易对手风险、交易所连接和操作风险。它适合理解“交易不是点击买卖，而是一条很长的运营和控制链”。
01
工作流分析
- 来源与路径：来自
community-joellewis-finance-skills，上游路径plugins/trading-operations/skills/operational-risk/SKILL.md，本地路径12-financial-ai-skills/upstream-snapshots/community-joellewis-finance-skills/plugins/trading-operations/skills/operational-risk/SKILL.md。 - 原始定位：上游描述：Guide identification, measurement, and management of operational risk in trading and brokerage operations. Use when designing trade error detection and correction procedures, investigating trade breaks and reconciliation failures, classifying loss events under Basel taxonomy, developing key risk indicators (KRIs) and dashboards, responding to system outages or data feed failures or order routing errors, conducting root cause analysis after a trade error or settlement fail, planning business continuity and disaster recovery for trading desks, preparing for FINRA or SEC operational risk examinations, or assessing technology risk in OMS and market data systems. Also covers fat-finger errors, error account P&L, and corrective action tracking.
- 金融业务理解：这一类覆盖交易前合规、交易执行、订单生命周期、交易后合规、清算交收、保证金、交易对手风险、交易所连接和操作风险。它适合理解“交易不是点击买卖，而是一条很长的运营和控制链”。
- AI 工作流价值：它把金融专业知识写成可以被 agent 调用的“能力片段”。这种写法适合学习如何把长期经验沉淀成 skill：先定义适用场景，再列核心概念，再给例子和常见误区。
- 可迁移应用方向：可用于补充金融市场、资管、托管和运营模块，设计交易生命周期、清算交收、异常处理和风险控制的学习图谱。
- 风险与治理边界：治理重点是只读和禁止自动交易。任何 AI 工具都不能绕过授权、额度、合规校验和人工确认去执行交易。
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01 Skill 上游文件https://github.com/JoelLewis/finance_skills/blob/f553a84f7222/plugins/trading-operations/skills/operational-risk/SKILL.mdFSK-144 · 查看仓库原文12-financial-ai-skills/professional-finance-service-skills-analysis-03.md原始来源与整理依据
文字分析来自内容源；业务分类、技术标签由 SeekingDAO 按规则整理。披露效果保留原有时间、范围和预测口径，未作独立审计。开源项目与 Skill 的当前许可、兼容性及依赖请以其上游为准。