买宇翔

CFA 持证人 | 10 年金融+数据产品经验 | 资管平台产品化 | 金融数据治理

mai.yuxiang@foxmail.com · GitHub · 杭州

个人优势

资深金融产品专家,深耕资产管理领域 10 年,具备从 0 到 1 产品落地经验。CFA 持证人,熟悉金融数据治理、投资组合管理系统及第三方数据接口整合,擅长将数据能力与金融业务场景深度融合,在智能投研、知识库构建、自动化运营等方向有丰富实践经验。

工作经历

美国道富(State Street (Zhejiang) Inc.)| Business Analysis Officer | 2021.11 — 至今 · 杭州

资管平台产品落地与升级

  • 深度参与道富 Alpha 平台(服务资产管理机构前中后台一体化解决方案,管理资产千亿美元规模)的新客户准入与产品化工作
  • 主导多资产投资组合(股票、固定收益、衍生品、私募股权)下单/交易执行/对账/估值核算环节的数据整合需求梳理,协助设计可扩展数据架构并推动落地

主导两个客户定制化产品的敏捷开发交付

  • 主导「已清算现金对账」「每日资产净值(NAV)详细对比报告」的需求分析和产品流程设计,完成这两个单一客户定制化产品的从 0 到 1 落地,解决客户痛点
  • 通过优化端到端数据管道,实现数据处理与报告生成全自动化,交付速度提升 75% 以上
  • 将单一客户定制化需求抽象为标准产品功能,形成可复用解决方案模板,被推广至其他 EMEA 客户复用

跨部门协作与需求管理

  • 协同美国、欧洲客户及内部技术/业务/客服团队,参与跨部门资源协调,完成需求分析→方案设计→开发交付的全流程管理
  • 编制业绩分析报告,运用彭博、Refinitiv、Markit 等工具验证资产价格、市值及盈亏,核验股票、债券、期权、场外掉期等多类金融资产属性与市场波动

AI 智能化转型

  • 协助领导运营部门 VBA/Python 自动化运营开发团队从传统瀑布开发模式向 AI 编程自动化方向转型
  • 深度参与 AI 产品在 Alpha 金融平台的落地验证全流程,测试验证 AI 在交易对账、异常检测、数据清洗等资管场景的应用,判断稳定性和精度。熟悉 AI 在资管和金融数据治理场景的运营,能够快速将 AI 能力与业务需求结合

SS&C Technologies(加拿大)| Senior Business Analyst / 高级产品分析师 | 2019.7 — 2021.8

需求分析与产品优化

  • 主导共同基金、私募基金业务需求分析,输出 BRD/PRD 文档 20+ 份,覆盖投资组合会计、多币种估值、TA 系统等核心模块,支撑 50+ 只基金产品按时交付
  • 参与优化 Geneva 系统与 Bloomberg、Refinitiv 等第三方数据供应商接口对接,设计数据映射规则和异常数据处理流程

数据治理与系统性能优化

  • 建立数据质量监控机制,设计估值差异核对预警自动化需求,主导完成 3 次核心模块性能压测,系统平均响应时间缩短 40%

CITCO (Canada) Inc | Senior Operations Analyst / 高级运营分析师 | 2015.7 — 2019.5

  • 执行每日及月度现金与交易对账,覆盖股票、债券、期货、掉期、期权等多类资产
  • 使用 VBA 开发自动化工具,帮助团队节省 1.5 个 FTE 人力成本,人工错误率降低 50% 以上

核心技能

AI 技能: LLM 应用开发 | Agentic RAG | LangChain | MCP 协议 | Tool use | Prompt Engineering | Python | 模型选型与成本优化 | 多智能体工作流 | AI 产品落地

产品技能: 需求分析(BRD/PRD) | 原型设计(Axure/Figma) | 流程设计(Visio) | 敏捷开发 | 数据驱动决策 | 金融产品设计

数据技能: SQL(Oracle/SQL Server) | Python(Pandas/NumPy) | PowerBI 数据看板 | 金融数据治理 | 数据质量监控

金融专业: 股债基衍生品全品类 | 资产估值核算 | 投资组合管理 | 交易对账 | 合规风控 | 第三方数据接口整合

个人项目

Lumina · 灵犀 | 个人 AI 秘书桌面应用

GitHub

  • 本地 FastAPI 后端 + Electron 前端,支持工具调用、持久记忆、数据源同步与 MCP 扩展
  • 多轮工具循环 Agent,读写操作需用户确认;Hermes 风格持久记忆,对话后自动整理
  • 数据源同步覆盖飞书、微信读书、小红书、邮箱、云盘;接入 MCP 协议扩展 Agent 能力

Stock Research | 多智能体 A 股研究平台

GitHub

  • 基于多智能体技术的 A 股研究平台,自动化完成投资研究的信息收集、数据分析和报告生成全流程
  • 信息搜集 Agent 自动抓取研报、新闻、公告等多源信息;数据分析 Agent 进行财务数据、技术指标、市场情绪多维度分析
  • 报告生成 Agent 整合分析结果输出结构化投资研究报告;支持个股深度研究、行业对比分析、投资机会挖掘与风险预警

Article Flow | 自媒体文章全流程工作流管理平台

GitHub

  • Tauri + Next.js 前端 + Python Flask 后端,本地 JSON 存储,零外部数据库依赖
  • 10 步工作流覆盖:热搜选题→搜集资料→写草稿→去 AI 味→标题工坊→审核→格式适配→配图→发布
  • AI 写作辅助:续写/润色/风格转换/AI 味检测,适配公众号/知乎/小红书等 6 大平台

NoteAI | AI 驱动的个人知识库桌面应用

GitHub

  • 独立设计和开发的产品,100% 代码由 AI 工具生成
  • 基于 Python + Tauri + LangChain 搭建智能知识库平台,集成 Agentic RAG 语义检索、MCP 工具调用与长短期记忆管理
  • 三层知识架构(Raw/Wiki/Archive),Milvus 混合检索 + FlagReranker 重排序 + HyDE 查询优化

AI 转型顾问 | 某淘宝女装电商(五千万级营收)

  • 搭建基于 skills 和 multi-Agents 的中台,覆盖趋势分析、热点抓取、运营数据分析、营销内容自动生成
  • 选款效率提升 60%,内容产能提升 3 倍,热点响应周期从 7 天缩至 2 天

教育背景

圣玛丽大学 金融学硕士 | 2013 — 2014 · 河南工业大学 经济学本科 | 2008 — 2012

证书与其他

  • CFA(特许金融分析师)持证人
  • 英语流利(工作语言)

Yuxiang Mai (Miles)

CFA Charterholder | 10 Years in Finance & Data Products | Asset Management Platforms | Financial Data Governance

mai.yuxiang@foxmail.com · GitHub · Hangzhou, China

Profile

Senior finance product professional with 10 years in asset management and hands-on 0-to-1 delivery. CFA charterholder. Strong in financial data governance, portfolio management systems, and third-party data integration. Experienced connecting data capabilities to business workflows, including intelligent research support, knowledge bases, and operations automation.

Work Experience

State Street (Zhejiang) Inc. | Business Analysis Officer | Nov 2021 — Present · Hangzhou

Asset management platform delivery

  • Contributed to onboarding and productization on the Alpha platform (front-to-back solution for asset managers; AUM in the hundreds of billions USD)
  • Led requirements for data integration across equities, fixed income, derivatives, and private equity: order placement, execution, reconciliation, and valuation; helped shape extensible data architecture and rollout

Two client-specific products (agile delivery)

  • Owned requirements and process design for settled cash reconciliation and daily NAV comparison reports; shipped both client-specific products from 0 to 1
  • Automated end-to-end data pipelines and report generation; delivery speed improved by 75%+
  • Abstracted client-specific features into standard product capabilities and reusable templates adopted by other EMEA clients

Cross-functional collaboration

  • Coordinated US and European clients with engineering, business, and support teams through requirements, solution design, and delivery
  • Prepared performance analytics; validated prices, market value, and P&L using Bloomberg, Refinitiv, and Markit across equities, bonds, options, and OTC swaps

AI-enabled operations

  • Supported the operations automation team (VBA/Python) in shifting from waterfall delivery toward AI-assisted development
  • Participated in full-cycle validation of AI features on Alpha: reconciliation, anomaly detection, and data cleansing; assessed stability and accuracy in asset-management and data-governance contexts

SS&C Technologies (Canada) | Senior Business Analyst | Jul 2019 — Aug 2021

Requirements and product optimization

  • Led mutual fund and private fund requirements; delivered 20+ BRD/PRD documents covering portfolio accounting, multi-currency valuation, and TA modules; supported 50+ fund launches on schedule
  • Improved Geneva integrations with Bloomberg, Refinitiv, and other vendors; designed mapping rules and exception handling

Data governance and performance

  • Built data quality monitoring and automated valuation variance alerts; ran three core performance tests; cut average response time by 40%

CITCO (Canada) Inc. | Senior Operations Analyst | Jul 2015 — May 2019

  • Daily and monthly cash and trade reconciliation across equities, bonds, futures, swaps, and options
  • Built VBA automation saving ~1.5 FTE and reducing manual error rates by 50%+

Core Skills

AI / Engineering: LLM App Dev | Agentic RAG | LangChain | MCP Protocol | Tool Use | Prompt Engineering | Python | Model Selection & Cost Optimization | Multi-Agent Workflows | AI Product Delivery

Product: Requirements (BRD/PRD) | Prototyping (Axure/Figma) | Process design (Visio) | Agile | Data-driven decisions | Financial product design

Data: SQL (Oracle/SQL Server) | Python (Pandas/NumPy) | Power BI | Financial data governance | Data quality monitoring

Finance: Equities, fixed income, funds, derivatives | Valuation | Portfolio management | Trade reconciliation | Risk & compliance | Third-party data integration

Personal Projects

Lumina | Personal AI Secretary Desktop App

GitHub

  • Local FastAPI backend + Electron frontend: tool calling, persistent memory, data source sync, and MCP extensions
  • Multi-turn tool-loop Agent; read/write operations require user confirmation; Hermes-style memory with post-conversation organization
  • Sync covers Feishu, WeRead, Xiaohongshu, email, and cloud drives; MCP extends Agent capabilities

Stock Research | Multi-Agent A-Share Research Platform

GitHub

  • Multi-agent platform automating investment research: information collection, analysis, and report generation
  • Gathering Agent scrapes research, news, and filings; analysis Agent covers financials, technicals, and sentiment
  • Report Agent outputs structured research; supports stock deep-dives, sector comparison, opportunities, and risk alerts

Article Flow | Full-Pipeline Content Workflow Platform

GitHub

  • Tauri + Next.js + Python Flask; local JSON storage; no external database
  • 10-step workflow: trending topics → research → draft → de-AI-ify → titles → review → formatting → images → publish
  • AI writing: continuation, polishing, style transfer, AI-tone detection; supports WeChat, Zhihu, Xiaohongshu, and three other platforms

NoteAI | AI-Powered Personal Knowledge Base

GitHub

  • Independently designed and developed; 100% code generated with AI coding tools
  • Python + Tauri + LangChain; Agentic RAG, MCP tool calling, long/short-term memory
  • Three-layer knowledge model (Raw/Wiki/Archive); Milvus hybrid retrieval, FlagReranker, HyDE query optimization

AI Transformation Consultant | Taobao Fashion E-Commerce (¥50M+ Revenue)

  • Built skills and multi-Agent middleware for trend analysis, hot topics, ops analytics, and marketing content generation
  • Style selection efficiency up 60%; content output up 3x; hot-topic response cycle from 7 days to 2 days

Education

Saint Mary’s University — MSc Finance, 2013 — 2014 · Henan University of Technology — BA Economics, 2008 — 2012

Certifications

  • CFA Charterholder
  • Fluent English (working language)