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