Haruka Takagi


I am a quantitative researcher with industry experience at Meta Superintelligence Labs and Bell Canada, working on large-scale dataset creation, empirical modelling, and reinforcement learning–based training of machine learning models. Co-author on multiple working research papers in machine learning, asset pricing and financial text analysis, with additional research contributions cited across academic literature.

Actively searching for buy-side quantitative finance internships for 2027.

Currently…

  • Linguistic Engineer at Llama Research Dept. - Meta Super intelligence Labs

  • Research associate at the FinHub Research Lab at the University of Toronto, Rotman School of Business.

  • Incoming Master of Financial Economics Candidate (MFE) at the University of Toronto, Rotman School of Business. Class of 2028.

Previously…

  • Data Scientist at Bell Canada

  • Machine Learning/NLP Engineer at Poetics Inc.

  • Analytics Internship at Bloomberg

  • Honours Bachelor of Science, Double Major in Statistics & Economics, Minor in Mathematics from the University of Toronto St. George. Graduated in June 2023.

  • Publication with Meta

  • Working paper in Finance

  • Industry experience as a data scientist.

  • Research experience at UofT Finance Dept.

  • Extensive quantitative finance projects and hands-on experience with research workflows