- Build/clean/merge large datasets: document reproducible workflows
- Run statistical/econometric analyses (event studies, DiD, panel, text/NLP if relevant)
- Conduct literature reviews and draft/write research sections
- Help prepare replication packages and submission materials
- High performers, post-ramp-up, may be considered for co-authorship
Note: This role is designed as a pre-PhD bridge for the candidate to get into top Accounting/ Finance PhD programs in the world. It is not for corporate industry tracks. Because empirical financial accounting overlaps heavily with corporate finance, both Accounting and Finance PhD-bound candidates are very welcome to apply.
Think of it as a focused 2-year preparatory pathway into top Accounting/Finance PhD programs: immersion in active projects, skill-building in modern empirical methods, and close mentorship. Competitive salary commensurate with qualifications.
