Michael Harrison
The goal of investment technology is not to eliminate uncertainty from markets — it is to help investors understand uncertainty, quantify risk, and make more rational, disciplined decisions.
Professional Profile
Michael Harrison is a senior investment strategist with over 30 years of experience across the global financial industry. His professional trajectory spans institutional asset management, investment research, portfolio construction, global asset allocation, and financial technology application.
His research focus centers on the integration of traditional investment frameworks with emerging artificial intelligence technologies. At VELORIX GROUP INC, he leads the development of portfolio strategy methodology, the quantitative research architecture, and the VET AI Intelligent Investment Research Framework, with emphasis on multi-factor analysis, asset allocation, market cycle identification, and risk management.
His core investment philosophy can be summarized in three principles:
UNDERSTAND MARKETS · MEASURE RISK · EXECUTE WITH DISCIPLINE
Career Experience
Chief Investment Strategy Officer · VELORIX GROUP INC
New York, USA ｜ 2020 — Present
Responsible for the strategic development of VET investment research, quantitative strategy, and the AI-assisted portfolio analysis system. Works alongside quantitative researchers, financial analysts, data scientists, and engineering teams to drive the integration of traditional financial research methods with machine learning and artificial intelligence technologies.
Key responsibilities include:
- Leading investment strategy research for the Viretra (VET AI Financial Intelligence Platform).
- Overseeing multi-factor investment models, asset allocation, volatility analysis, and portfolio risk research.
- Establishing a market cycle identification framework covering equities, fixed income, foreign exchange, and commodities across major asset classes.
- Coordinating quantitative research and AI data science teams to transform complex financial data into structured analytical signals.
- Building a portfolio risk management system with focus on concentration, volatility, correlation, drawdown, and overall risk exposure monitoring.
- Leading the VRX Investor Education Research System, translating institutional-grade investment philosophy into structured learning content.
- Providing long-term strategic recommendations to VRX management on financial AI and investment research technology development.
Fidelity Investments
Boston, USA ｜ 2005 — 2013
Responsible for supporting asset allocation and portfolio construction through quantitative and fundamental research. Key work included:
- Researching value, quality, momentum, volatility, and profitability investment factors.
- Building quantitative models for security analysis and portfolio risk assessment.
- Conducting historical simulation, backtesting, and stress testing across different investment strategies.
- Researching the correlation between macroeconomic variables and cross-asset class performance.
- Collaborating with investment teams to integrate quantitative research into traditional fundamental investment frameworks.
Human Judgment + Systematic Analysis
State Street Global Advisors (SSgA)
Investment Analyst · Global Markets ｜ Boston, USA ｜ 1996 — 2005
This was a formative stage in Harrison's entry into institutional investing. Key responsibilities included:
- Equity market research
- Fixed income market research
- Portfolio attribution analysis
- Benchmark index analysis
- Macroeconomic research
- Institutional portfolio reporting
- Risk and performance analysis
The research experience accumulated during this period laid the foundation for his subsequent work in quantitative investing, global asset allocation, and investment strategy.
Education
Master of Business Administration (MBA)
The Wharton School, University of Pennsylvania · Philadelphia, Pennsylvania, USA
Concentration: Finance. Primary areas of study:
- Corporate Finance · Investment Management · Capital Markets · Portfolio Theory · Financial Economics · Risk Management
Bachelor of Arts in Economics (B.A. in Economics)
University of Michigan · College of Literature, Science, and the Arts · Ann Arbor, Michigan, USA
Primary areas of study:
- Economics · Statistics · Econometrics · International Economics · Monetary Economics
The undergraduate training in economics and quantitative analysis provided the theoretical foundation for Harrison's later work in global macroeconomic research and quantitative investment research.
Professional Credentials
Investment Analysis · Portfolio Management · Economics · Financial Analysis · Ethics and Professional Standards
Wealth Planning · Investment Planning · Retirement Planning · Risk Management · Wealth Management
Role at VELORIX — Five Pillars of VET AI
As Chief Investment Strategy Officer of VELORIX GROUP INC, one of Harrison's key responsibilities is connecting:
Financial Theory × Institutional Investment Practice × Artificial Intelligence
He leads the research and development of VET AI across five directions:
Market Intelligence
Building a structured market analysis system using financial market data and macroeconomic data.
Multi-Factor Research
Synthesizing fundamental, technical, quantitative, volatility, and market sentiment dimensions.
Portfolio Intelligence
Researching diversification, correlation, risk exposure, and risk-adjusted portfolio construction.
AI Risk Management
Building intelligent analysis systems to identify anomalous volatility, concentration risk, regime shifts, and latent portfolio risks.
Investor Education
Helping investors understand not only what happened in markets, but why — and how to analyze systematically.
Investment Philosophy
Harrison's investment philosophy emphasizes that process matters more than prediction. His core viewpoint:
The goal of investment technology should not be to eliminate market uncertainty, but to help investors understand uncertainty, quantify risk, and make more rational and disciplined decisions.
He believes that artificial intelligence will not simply replace professional investment personnel. The future of investment management is more likely built on three core elements:
HUMAN EXPERTISE × DATA × ARTIFICIAL INTELLIGENCE
Provides judgment, experience, and understanding of complex market environments.
Provides objective evidence and the analytical foundation.
Provides large-scale computation, data processing, and pattern recognition capability.
Together, these three elements form VELORIX's foundational understanding of the next-generation intelligent investment research system.
Summary
Michael Harrison, CFA, CFP®
Chief Investment Strategy Officer · VELORIX GROUP INC
30+ Years Institutional Finance Experience · Global Investment Strategy · Quantitative Investment Research · AI-Assisted Portfolio Analysis · Risk Management
Disciplined Analysis. Intelligent Technology. Better Decisions.