(a). A strong mathematical background
Applicants with bachelor or master degrees in mathematics, including pure math, applied math, probability, statistics, and financial math, are preferred.
I also invite applications from those with strong analytical skills but with bachelor or master degrees in other areas such as physics, finance, economics, and machine learning.
(b). Self-motivated and highly interested in conducting research in finance-related areas.
Prof. Ning Cai
Prof. Cai received a Ph.D. in operations research (financial engineering) in the Dept of IEOR at Columbia University and both B.S. and M.S. in the School of Mathematical Sciences at Peking University.
Prof. Cai has published papers in the top-tier journals such as Management Science, Operations Research, Mathematical Finance, and Mathematics of Operations Research. Currently he serves as associate editor for Operations Research.
(2). Prof. Cai's research interests
(a). Financial engineering and risk management
--- Credit risk; liquidity risk; systemic risk; real options; unified approaches to derivatives pricing
(b). FinTech and business analytics
--- Data privacy preservation; P2P lending; statistical inference of big data
(c). Applied probability and stochastic modeling
--- Financial modeling; Monte Carlo simulation; probabilistic analysis of various financial models