AI, Python, and Quant Finance

Educating the next generation of AI engineers with The AI Engineer program.

Dr. Yves J. Hilpisch

Founder of The Python Quants and The AI Machine. Author, educator, and builder empowering finance professionals and software engineers to accelerate quantitative finance with Python, AI, and automated research workflows.

7 Books Published
20 Years Python & AI
1,000s Quants, Coders Trained
Illustrated portrait of Dr. Yves J. Hilpisch
About

Quant technologist integrating finance, AI, and automation.

I blend academic rigor with production-grade execution to empower finance professionals transitioning into an AI-first era.

With a Ph.D. in Mathematical Finance, I lead The Python Quants and The AI Machine, focusing on algorithmic trading, Python-driven analytics, and enterprise AI adoption. My work bridges research and industry impact through books, programs, and advisor roles.

Today, I partner with institutions and practitioners to build AI-native workflows: from LLM-assisted research pipelines to quantitative trading systems. My teams deliver portfolio-ready education, code assets, and community programs that help quants stay ahead.

Initiatives & Roles

Hands-on programs, products, and communities for AI and finance innovators.

Explore the ecosystem powering Python, quantitative finance, and generative AI adoption worldwide.

🐍 The Python Quants

Founder & CEO delivering Python, AI, quant finance, Crypto training and tooling for modern quants and engineers.

Visit TPQ ↗

🎓 CPF Program

Director of the renowned Certificate in Python for Finance — 400+ hours of video, tens of thousands of lines of code, and hundreds of interactive notebooks.

Learn about CPF ↗

🤖 The AI Engineer

Flagship training program for AI-native builders. Ship production LLM systems with hands-on capstones.

Join TAE ↗

₿ The Crypto Engineer

Systematic training program for engineering crypto systems with confident. Primitives → Bitcoin → markets → live ops.

Join TCE ↗

🔐 The AI Machine

Advanced secure communication solutions (e.g. MagicCap for encrypted ephemeral chat).

Discover TAIM ↗

📚 Publications

Author of seven books on Python, quantitative finance, and applied AI for markets.

View catalog ↗

▶️ Content & Media

Creating instructional video series and AI-powered informer videos and podcasts for the AI, Cryoti, and quant communities.

Watch on YouTube ↗

🏛 Academic Partner

Lecturer at CQF and EPAT programs, bringing advanced Python and AI workflows to practitioners.

CQF insights ↗

🌐 Quant Communities

Organizing meetups in London, New York, and beyond to grow the Python for finance network.

Join meetups ↗

💡 quants@dev

Leading developer community initiatives that align quant engineering with AI-native practices.

Explore community ↗

📦 DX Analytics

Author of the DX Analytics Python package for valuation, risk analytics, and derivatives pricing.

Access GitHub ↗
Books & Discussion Papers

Exploring Physics, Life Sciences, and Quant Finance in the Age of AI.

Rapidly developed with GenAI tooling, these papers and books capture key theses and frameworks driving myself, humanity in general, and our programs in particular.

Physics

Life Sciences

Deep Q-Life: Markov, Bellman, and Habits

Recasts everyday habit building as a compact reinforcement learning problem. Using the MDP lens and the Bellman principle — choose what is good now and sets up good options next — Deep Q-Learning provides a simple loop: try, remember what worked, and refine with weekly reviews. Includes relatable examples and checklists for practical, improvable policies.

Deep Q-Life Sobriety: Applying RL Habit Loops to Alcohol-Free Living

Extends the Deep Q-Life framework into a practical sobriety playbook. Maps alcohol cravings as Markov decision processes, designs replacement policies and experience replay rituals, and adds “soft” success factors such as mindfulness, future-self continuity, and self-compassion. Includes protocols and checklists for navigating high-risk situations and sustaining long-term alcohol-free living.

Download the daily review sheet (PDF)

Longevity and Health: From Myths to Proven Protocols

Synthesizes the strongest human evidence for extending healthspan: a Mediterranean-style, protein- and fiber-rich diet, structured aerobic (including Zone 2) and resistance training, 7-9 hours of sleep, and intentional hydration. Completes the protocol with stress-regulation practices and social connection to counter the mortality impact of chronic isolation.

Quant Finance & AI

Two Tales, One Insight: Today as the Safest Bet for Tomorrow

A twin narrative — one story-driven, one mathematical — showing why, with minimal information, today's value is the statistically safest single-number forecast for both tomorrow's stock price and tomorrow's temperature, linking everyday intuition with conditional expectations and random-walk thinking.