IVAILO DIMOV

Instructor since 2017

IVAILO DIMOV

Ivailo Dimov is a senior quant at the Bloomberg L.P. CTO Office, where he provides quantitative and data science solutions to management, external and internal clients. He has worked on both traditional derivative, risk and alpha modeling as well as alternative data research. At Bloomberg, he has led projects on market consensus, broker-algo selection, recommendation systems, automated news and news topic modeling, as well as geographical alternative data. Prior to joining Bloomberg, Ivailo was a quant at the derivative analysis group at Goldman Sachs covering equity derivatives. He has a Ph.D. in physics from UCLA and an M.S. in Mathematics in Finance from NYU Courant.

SELECTED PUBLICATIONS
Hidden Noise Structure and Random Matrix Models of Stock Correlations (March 2012)

Ivailo Dimov, Petter Kolm, Petter N. Kolm , Lee Maclin and Dan Y. C. Shiber

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