Ethan Sterling

AI Strategist & Finance Professional | New York, NY

📝 Professional Bio

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Ethan Sterling is a highly skilled Artificial Intelligence (AI) strategist and finance professional based in Midtown Manhattan, New York, United States. With over a decade of cross-disciplinary experience, he operates at the critical intersection of advanced machine learning, quantitative finance, and strategic business intelligence.

🎓 Academic Background

Ethan holds a Master of Science in Computer Science from Columbia University, New York, where his graduate research focused on “Deep Reinforcement Learning for Algorithmic Trading Strategies in Volatile Markets.” During his time at Columbia, he served as a research assistant at the Data Science Institute, contributing to projects on predictive modeling and financial time-series analysis.

He earned his Bachelor of Business Administration (BBA) in Finance and Data Analytics from Baruch College, City University of New York (CUNY), graduating Magna Cum Laude. At Baruch, he was a recipient of the Zicklin School of Business Dean’s Award for academic excellence and led the university’s Data Analytics Club as President, organizing workshops and industry speaker sessions with Wall Street professionals.

Additionally, Ethan holds the following verified certifications:

  • CFA® Charterholder (CFA Institute, USA)
  • Google Professional Machine Learning Engineer
  • AWS Certified Machine Learning – Specialty
  • Financial Risk Manager (FRM®) — GARP

💼 Professional Experience & Specialization (Authoritativeness)

Currently, Ethan serves as a senior AI strategy consultant, advising fintech startups and established financial institutions across New York City. His core expertise includes:

  • Designing AI-powered investment advisory systems
  • Building predictive financial models using ensemble learning and NLP
  • Developing risk assessment frameworks powered by real-time data pipelines
  • Integrating alternative data sources (satellite imagery, sentiment analysis) into institutional trading strategies

Previously, he worked with a boutique quantitative hedge fund in Greenwich, Connecticut, and consulted for Fortune 500 banking clients on their AI transformation roadmaps. His thought leadership has been featured in industry publications such as Towards Data Science, KDnuggets, and the CFA Institute’s Enterprising Investor blog.

🏢 Location & Trust Signals (Trustworthiness)

Business Address (Partial):

Ethan Sterling Consulting
Midtown Manhattan, New York, NY 10018
United States

Office Hours: Monday – Friday, 9:00 AM – 6:00 PM EST
Contact: Available for consultation via LinkedIn or professional email
Professional Memberships:

  • CFA Institute — Active Member
  • Association for Computing Machinery (ACM) — Professional Member
  • Global Association of Risk Professionals (GARP) — Individual Member
  • New York FinTech Collective — Community Member

🌐 Online Presence & Verification

📄 Notable Publications & Speaking

  • Sterling, E. (2024). “Reinforcement Learning in Illiquid Markets: A Practical Framework.” Journal of Financial Data Science.
  • Speaker at AI in Finance Summit 2024, New York — Talk: “Demystifying Black-Box Models for Regulatory Compliance.”
  • Regular contributor to Medium publication “The AI Strategist” — 5K+ followers.

⚖️ Ethics & Transparency Statement

Ethan adheres to the CFA Institute Code of Ethics and ACM Code of Conduct. All AI models he develops prioritize fairness, explainability, and regulatory compliance. He maintains transparent client relationships with clearly defined deliverables, and does not make unsubstantiated performance claims.