Fayçal Drissi

Fayçal Drissi

Postdoctoral Researcher
Oxford-Man Institute of Quantitative Finance
University of Oxford

Research interests

Blockchain technology, asset digitisation, and machine learning are reshaping the financial landscape and challenging traditional stakeholders. My research focuses on two strands:

  • Economics of blockchains and decentralised financial systems — microstructure of decentralised markets, incentive design in blockchain economies, and tokenisation.
  • Machine learning for financial decision problems — reinforcement learning and statistical inference.

Selected papers

A complete list is available on the publications page.

  1. Capponi, A., Cartea, Á., Drissi, F. (2025). The Viability of Blockchain Markets under Discrete Clearing and Paid Priority. link
    Presented at / Accepted at:
    • NBER Summer Institute 2026, Financial Market Structure, Cambridge, MA
    • 6th Annual CBER Conference, New York, 2026
    • 41st Meeting of the European Economic Association and the 77th European Meeting of the Econometric Society (EEA-ESEM 2026)
  2. Drissi, F., Feinstein, Z., Williams, B. (2026). Liquid Staking and the Limits of Policy. link
    Presented at / Accepted at:
    • CBER Crafting the Cryptoeconomy Conference, Columbia University, 2025
    • Designing DeFi Conference, Columbia Business School, New York, 2026

Grants and awards

  • 2025 — Research Grant, Uniswap. Fixed-for-Floating Fee Swap in Decentralised Finance.
  • 2023 — Best PhD Thesis Prize, EURO Working Group for Commodities and Financial Modelling (EWGCFM). Decentralised Finance, Execution and Speculation.
  • 2023 — PhD Research Grant, G-Research. Unsupervised Learning for Algorithmic Trading.
  • 2022 — Research Grant, Chaire Fintech Université Paris Dauphine‑PSL. Decentralised Finance and Automated Market Making: Predictable Loss and Optimal Liquidity Provision.

Service and editorial activity

  • Topic editor, Journal of FinTech.
  • Referee for Management Science, Operations Research, Annals of Operations Research, Mathematical Finance, and Finance & Stochastics.

Events I organise

More about me

I am a postdoctoral researcher at the Oxford-Man Institute of Quantitative Finance, University of Oxford. I obtained my Ph.D. in Mathematics from Université Paris 1 Panthéon-Sorbonne in 2023, with a thesis on the microstructure of traditional electronic markets and decentralised exchanges.

Prior to my doctoral studies, I spent four years in the hedge fund industry working on systematic trading and global macro research.

Outside academia, I am passionate about climbing, mountaineering, and languages.

Contact

faycal (dot) drissi (at) gmail (dot) com
Oxford-Man Institute of Quantitative Finance, Eagle House, OX2 6ED, Oxford.