Introduction to Quantitative Investment
Course Outline
There are a total of 4 lectures, each running for 3 hours.
Recommended For
Algorithmic traders who seek a deeper appreciation of mathematics and programming
Regulators, risk managers and auditors who need a good understanding of the nature of quantitative analysis
Portfolio managers who wish to apply their mathematical and statistical strengths in the trading arena
Anyone who aspires to become a quantitative trader

Trainer
Dr. Haksun Li is the CEO of NM FinTech LTD., a quantitative trading research and analytic consulting company, which serves brokerage houses and funds all over the world, multinational corporations, very high net worth individuals and gambling groups. Prior to this, Dr. Li was a quantitative trader/quantitative analyst with multiple investment banks. He has worked in New York, London, Tokyo, Singapore and Hong Kong. Dr. Li has a B.S. and M.S. in Pure and Financial Mathematics from the University of Chicago, an M.S. and a Ph.D. in Computer Science & Engineering from the University of Michigan, Ann Arbor. Dr. Haksun Li is/was an adjunct professor with multiple universities. He taught at the National University of Singapore (Mathematics), Nanyang Technological University (Business School), Fudan University (Economics), as well as Hong Kong University of Science and Technology (Mathematics).
PREFERRED BACKGROUND
- Some experience in trading is preferred but not essential
- University level mathematics and statistics
- Programming experience