In her multifaceted role, Iuliia focuses on quant investment solutions and research for institutional asset owners, in particular SWFs and large pension funds. Currently Iuliia also serves as Quant Researcher to a Tech & Innovation arm of a large SWF.
Iuliia’s research experience covers market anomalies, volatility modelling and risk premia strategies in equities and commodity futures as well as application of Machine Learning techniques to quantitative and discretionary investment management.
Iuliia is a Member of Scientific Council at the CBBA-Europe and Adjunct Researcher at the World Pensions Council. She holds MSc in Operational Research and PhD in Finance.
Iuliia frequently delivers guest lectures at the London School of Economics (LSE) and other academic institutions.