Iuliia Manziuk
About Iuliia Manziuk
Iuliia Manziuk is a quantitative researcher with a strong academic background in applied mathematics and economics. She has held various positions in notable institutions, including IBM, HSBC, and Engineers Gate, and has extensive experience in quantitative finance and machine learning.
Current Role at Engineers Gate
Iuliia Manziuk currently serves as a Quantitative Researcher at Engineers Gate, a position she has held since 2021. In this role, she applies her expertise in quantitative analysis to develop and implement models that support trading strategies. Her work contributes to the firm's efforts in optimizing investment decisions and enhancing performance metrics.
Previous Experience in Quantitative Finance
Prior to her current role, Iuliia Manziuk worked as a Consultant in Quantitative Finance at Institut Louis Bachelier from 2018 to 2020. She also gained valuable experience as an Equity Derivatives Research Intern at HSBC Global Banking and Markets in 2017. These positions allowed her to deepen her understanding of financial markets and quantitative methodologies.
Academic Background in Mathematics and Economics
Iuliia Manziuk holds a Doctor of Philosophy (PhD) in Applied Mathematics from the University of Paris I: Panthéon-Sorbonne, where she studied from 2017 to 2020. She also earned a Master of Science (M.Sc.) in Analysis and Policy in Economics from the Paris School of Economics in 2017. Additionally, she completed a Master of Science in Applied Economics at the Higher School of Economics in 2017, and a Bachelor of Science (B.Sc.) in Computational Mathematics and Cybernetics from Lomonosov Moscow State University in 2015.
Internship Experience
Iuliia Manziuk has completed several internships that have contributed to her professional development. She interned with IBM East Europe/Asia in 2015 for four months, focusing on ECM-Team projects in Moscow. Additionally, she worked as an intern at HSBC Global Banking and Markets in 2017, where she focused on equity derivatives research for five months. These experiences provided her with practical insights into the finance industry.
Postdoctoral Research in Mathematical Finance
From 2020 to 2021, Iuliia Manziuk was a Postdoctoral Researcher at École Polytechnique, where she specialized in Mathematical Finance and Machine Learning. This role involved conducting advanced research and contributing to academic knowledge in the field, further solidifying her expertise in quantitative methods.