Fayçal Drissi

Fayçal Drissi

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

Research interests

Finance digitization and AI are reshaping the financial landscape and challenging traditional stakeholders. My research focuses on:

  • Economics of blockchains and decentralised financial systems
  • Artificial Intelligence and Industrial organization
  • Statistics and Machine Learning in Finance

Selected working papers

A complete list is available on the publications page.

  1. Fayçal Drissi, Sebastian Jaimungal, Xuchen Wu (2025). Equilibrium Liquidity and Risk Offsetting in Decentralised Markets.
    Revise and Resubmit at Operations Research. link
  2. Agostino Capponi, Álvaro Cartea, Fayçal Drissi (2025). The Viability of Blockchain Markets under Discrete Clearing and Paid Priority. link
    Presented at / Accepted at:
  3. Fayçal Drissi, Zachary Feinstein, Basil Williams (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
  4. Álvaro Cartea, Fayçal Drissi, Fahad Saleh (2026). The Economics of Regulating Tokenized Securities. link
    Presented at / Accepted at:
    • ToDeFi - Torino Decentralized Finance Conference 2026 (Keynote speech)

Selected publications

  1. Álvaro Cartea, Fayçal Drissi, Marcello Monga (2025). Decentralised finance and automated market making: Execution and speculation.
    Journal of Economic Dynamics and Control. link
  2. Álvaro Cartea, Fayçal Drissi, Leandro Sánchez-Betancourt, David Siska, Lukasz Szpruch (2026). Strategic bonding curves in automated market makers.
    Mathematics of Operations Research. link

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

  • Guest Editor, Special Issue on Decentralized Finance, International Journal of Theoretical and Applied Finance (IJTAF).
  • 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.