Imran Haluk Senlik
About Imran Haluk Senlik
Imran Haluk Senlik is a Quantitative Developer at Two Sigma, where he has worked since 2021. He holds a Bachelor's degree in Economics and a Minor in Computer Science and Statistics from the University of Illinois at Urbana-Champaign, along with a graduate degree in Computer Science from New York University.
Work at Two Sigma
Imran Haluk Senlik has been employed at Two Sigma as a Quantitative Developer since 2021. In this role, he applies his expertise in quantitative analysis and software development to contribute to the firm's investment strategies. His tenure at Two Sigma follows a previous position at Two Sigma IQ, where he worked as a Modeling and Data Engineer from 2018 to 2021. This experience has provided him with a strong foundation in data modeling and quantitative methods within a financial context.
Education and Expertise
Imran Haluk Senlik studied at the University of Illinois at Urbana-Champaign, where he earned a Bachelor's Degree in Economics and a Minor in Computer Science and Statistics from 2013 to 2018. He furthered his education at New York University, obtaining a Graduate degree in Computer Science in 2019. His academic background equips him with a solid understanding of both economic principles and technical skills in programming and data analysis.
Previous Work Experience
Before joining Two Sigma, Imran Haluk Senlik worked as an Actuarial Consultant at Oliver Wyman for three months in 2017, based in Chicago. He also served as a Modeling and Data Engineer at Two Sigma IQ from 2018 to 2021, where he focused on data-driven modeling projects. Additionally, he worked as a teaching assistant for Economic Statistics II and Macroeconomics at the University of Illinois at Urbana-Champaign from 2016 to 2017, contributing to the academic development of students in these subjects.
Notable Projects and Competitions
In 2017, Imran Haluk Senlik participated in the Correlation One Datathon sponsored by Citadel, where his team achieved third place. This competition involved developing innovative data solutions and showcased his ability to apply quantitative skills in a competitive environment. His involvement in such projects highlights his commitment to leveraging data analysis in practical applications.