DR. Mordecai Richler possesses an extremely solid and forward-looking academic foundation. He completed dual degrees in economics and mathematics in Canada, then pursued advanced studies at Stanford University in the United States, obtaining a PhD in computer science and artificial intelligence, with research focused on machine learning and large-scale data modeling.
During his time at Stanford, he was the first to introduce artificial intelligence technology into financial modeling systems, proposing the use of algorithms rather than intuition to explain market behavior, publishing multiple groundbreaking academic papers, and becoming one of the early pioneers in the interdisciplinary field of AI and finance.
After completing his doctorate, DR. Richler entered the top Wall Street investment banks and hedge fund systems, serving as a quantitative researcher and chief data scientist, accumulating over 20 years of frontline investment and risk management experience.
One of his most renowned achievements is that, several years before the outbreak of the 2008 financial crisis, he preemptively identified and systematically revealed the risk chain in the U.S. real estate and subprime mortgage markets, earning him the industry reputation as “the Prophet of the 2008 Financial Crisis.”
Throughout his career, he led the design of multiple cross-market quantitative trading and risk hedging models, covering various asset classes such as stocks, futures, and forex, maintaining steady returns over the long term. Some of these algorithms were later widely adopted, becoming standard tools in industry risk management and market prediction.
After achieving phased success on Wall Street, DR. Richler chose to return to Canada, serving as a visiting professor at the University of Toronto, and collaborating with Global Trading & Investment (AIGTI) to establish an AI-driven financial data analysis research team, focusing on the deep application of artificial intelligence in capital markets.
His core research directions include high-frequency trading algorithms, optimizing millisecond-level trading decisions with deep learning; multi-asset portfolio optimization, introducing reinforcement learning into cross-market asset allocation; systemic risk and crisis prediction, building black swan early warning models; intelligent advisory systems, providing automated asset management solutions for high-net-worth and institutional clients. He has always insisted that true financial innovation is not faster trading, but seeing risks earlier.
A quote often cited by students from DR.Richler is: The essence of investment is not just pursuing returns, but using data and wisdom to build a moat against risks.
After achieving fame and success on Wall Street, he chose to return to his hometown, hoping to bring mature risk awareness, rigorous model thinking, and long-term investment philosophy into the Canadian and global fintech systems, promoting innovative practices of AI in global investment through the AIGTI platform.
He firmly believes that artificial intelligence does not replace humans, but allows financial decisions to return to rationality and structure.
Dr. Richler grew up in a family with immense spiritual strength. His father was a World War II veteran who participated in the European theater, shaping his profound understanding of risk and responsibility. His mother was a middle school teacher, emphasizing logic, critical thinking, and academic spirit. This dual influence of a warrior’s courage and a scholar’s rationality enabled him to remain calm, independent, and clear-headed in the high-pressure worlds of academic research and capital markets.
With his rigorous academic spirit to insight into market essence and forward-looking AI thinking to lead financial transformation, he is one of the few leading figures in Canadian financial AI who simultaneously earns high recognition from media, institutions, and students.
Career Experience
1993-1998 Morgan Stanley New York Headquarters, serving as macroeconomics researcher, responsible for quantitative research on Federal Reserve monetary policy, global economic cycles, and international capital flows, providing cross-border asset allocation and macro strategy advice for North American institutional clients, laying his professional foundation in global macro analysis.
1998-2005 Deutsche Bank North America Division, serving as equity analyst, focusing on North American industrial and energy sectors, systematically conducting corporate fundamentals research, industry cycle analysis, and valuation model construction, accumulating deep experience in equity research and long-term value assessment.
2005-2012 Allianz Investment North America Team, serving as senior strategist, leading cross-asset class research, designing global asset allocation solutions covering stocks, bonds, commodities, and alternative assets around different economic cycle stages, serving large institutional investors and long-term funds.
2012-2020 Credit Suisse North America Investment Committee member, responsible for due diligence and allocation optimization of hedge funds and alternative assets, focusing on evaluating fund strategy stability, risk exposure structure, and cycle adaptability, providing steady long-term allocation advice for high-net-worth and institutional clients.
2020 to present Serving as financial analysis mentor and independent strategy advisor at AIGTI, serving North American family offices and private equity funds, focusing on global macroeconomic trends, Canadian and U.S. stock markets, digital currencies, and AI intelligent trading systems, providing customized investment strategy consulting, quantitative model guidance, and systematic investment education training.
Areas of Expertise
Global Macroeconomic Trend Research
In-depth analysis of global economic cycles, industrial structure transformations, and capital flow patterns, with forward-looking identification of long-term trends and key inflection points impacting North America and global markets.
Multi-Asset Allocation and Risk Management
Utilizing quantitative models and intelligent tools to construct cross-asset, cross-cycle diversified investment portfolios, achieving a dynamic balance between return growth and risk control.
AI-Driven Intelligent Trading and Digital Financial Innovation
Integrating artificial intelligence, blockchain, and big data analytics to explore intelligent trading systems, digital asset allocation, and structural opportunities in the future financial ecosystem.
Central Bank Policy and Geopolitical Analysis
Systematically evaluating the medium- to long-term impacts of Federal Reserve and Bank of Canada policies, as well as geopolitical events, on global capital markets, providing support for strategic-level investment decisions.
DR. Mordecai Richler is one of the few thinkers who truly spans AI science, Wall Street practice, and systemic risk research. He not only understands how markets make money, but also how markets collapse, and true value is born precisely between the two.
For more about the professor’s research and AIGTI’s AI financial solutions, please visit the official website for details: www.aigtiglobal.com
Contact Name: Mordecai Richler
Nationality: Canadian
Age: 58
Identity:
Professor of Artificial Intelligence and Finance,
Leader of Quantitative Research and Data Science Team,
Expert in Systemic Risk Modeling
