China AML Intelligence Platform
Production-grade AML compliance workbench built on real IBM AML NeurIPS 2023 fraud data, PBOC regulatory rules engine, and an AI Agent that auto-drafts Suspicious Transaction Reports in CAMLMAC format.
PBOC threshold rules + real fraud labels from IBM AML NeurIPS 2023
ECharts force-layout · Fan-out, fan-in & cycle pattern detection
4 real AML docs · BM25 retrieval · article-level citations
6-step agent loop · CAMLMAC-format report auto-generation
Compliance Research Workbench
AML Sentinel handles "finding risks" (transaction monitoring, case investigation, STR drafting). ComplianceIQ handles "finding rules" (regulation search, case comparison, AI-structured analysis). Both share the same regulatory data layer but serve different workflow stages.
Compliance officers traditionally search through multiple PDFs page by page. CJK-aware BM25 search + source filtering reduces regulation lookup from minutes to seconds.
Every AI answer enforces a 5-section structure, strictly separating legal provisions from reference materials — preventing KPMG analysis or FATF reports from being misrepresented as binding regulatory basis.
25 enforcement cases with control failure analysis, bidirectionally linked to regulations via linkedRegulationIds — helping analysts connect regulatory obligations to actual penalty consequences.
International Finance & Management at EDHEC Business School (GPA 15.66/20, Top 15%), BSc Finance from Shanghai Jiao Tong University (Minor: Information Management). Hands-on experience in risk control, compliance, and data analytics across Paris and Shanghai. Currently focused on AI + Compliance: independently designed and deployed AML Sentinel (AML investigation workbench) and ComplianceIQ (compliance research workbench) as production-grade portfolio demos covering transaction monitoring, regulatory retrieval, enforcement case analysis, and AI-structured Q&A.
Cross-domain expertise driving data insights and AI delivery
Bridging quantitative models with regulatory frameworks to build risk exposure monitoring, compliance review, and report automation for banking and FinTech.
Exploring RAG, LangChain, and LangGraph tools applied to financial compliance, audit automation, and document analysis.
End-to-end data pipelines and interactive dashboards using Python, SQL, Power BI, and ECharts, turning raw data into actionable insights.
Data-driven projects & analytics tools
A bank-style AML compliance workbench combining real Chinese financial fraud data (DGraph-Fin by Finvolution), PBOC regulatory RAG, and an AI Agent that auto-drafts Suspicious Transaction Reports — designed around the full analyst investigation workflow.
A knowledge-driven compliance research workbench that organizes regulatory provisions, enforcement cases, and AI-powered structured explanations into a single searchable, citable, and cross-referenced research workflow for banking compliance professionals.
An interactive compliance workflow tool integrating regulatory requirements, risk-control mapping, scenario scoring, and real-time alert monitoring — built as a B2B internal risk ops prototype.
A RAG (Retrieval-Augmented Generation) Q&A system built for Chinese financial regulatory documents (PBOC / SAFE regulations), enabling natural-language compliance queries with precise answers and source citations.
An LLM-orchestrated multi-agent system that automates financial research pipelines: Data Collection Agent → Quantitative Analysis Agent → Report Generation Agent, with tool use and context memory — compressing research cycles from days to minutes.
An interactive product operations analytics platform featuring AARRR funnel analysis, cohort retention heatmaps, channel attribution, A/B test calculators, and competitive feature matrices.
Risk Control Analyst Intern
Finance Digital Audit Intern
Risk Strategist
Risk Control Intern
Master in International Finance & Management (Dual Degree)
GPA 15.66/20 (Top 15%) | Outstanding Chinese Alumni Scholarship (50% tuition)
Core Courses
Python Portfolio Analysis, Fintech, Financial Modeling, VBA, M&A Analysis
BSc Finance (Minor: Information Management)
Core Courses
Business Statistics, Database & Big Data, Algorithm Analysis, Econometrics, Corporate Finance
Raised €2,000 in sponsorship and organized the Spring Festival Gala with 200+ attendees. Led outreach campaigns for prospective Chinese students and served as official EDHEC Campus Ambassador.
Whether it's an AI engineering project, financial analytics, or a new opportunity — I'd love to hear from you.
longyu.xu@edhec.com