Chris Smith

Capital Markets Data & Analytics Professional | Data Governance • Data Lineage • Metadata Management • Data Quality | Python • SQL • Machine Learning 9+ years turning complex trading and regulatory data into governed, trusted, decision-ready data products across Tier-1 financial institutions , Morgan Stanley, American Express, and MUFG. I build the data pipelines, governance frameworks, and analytics that capital markets, finance, and risk functions depend on. My work spans enterprise metadata management, data lineage strategy, governed data models, and automated data-quality validation, translating regulatory and trading requirements into scalable, auditable data solutions adopted by senior leadership across global regions. Core strengths: Data Governance & Data Lineage • Metadata Management • Data Quality & Validation • Capital Markets & Trade Lifecycle • Python, SQL, Alteryx, Power BI • Machine Learning, NLP & Predictive Modeling • Executive Dashboards & Business Intelligence. Columbia University–certified in Applied Data Science (machine learning, NLP, deep learning). FINRA Series 7 & 63 (eligible for reinstatement).