The Louis Bachelier Natixis – London Mathematical Society Prize is awarded every two years, jointly with Société de Mathématiques Appliquées et Industrielles (SMAI – equivalent of the Royal Society for Applied and Industrial Mathematics). The prize rewards a researcher aged under 45 with international academic and professional recognition for her/his contribution in financial mathematics and applications to financial modeling, insurance, risk management, and scientific computing applied to finance and insurance.

Lauréat 2020

This year, the winner of the 2020 Louis Bachelier Prize is Mathieu Rosenbaum  professor of financial mathematics at École Polytechnique (France). The award was given in recognition of his contributions in statistical finance and stochastic modeling for finance. His research covers a wide range of topics from probability to statistics, with a focus on real financial issues. His work includes market microstructure, high-frequency and algorithmic trading, volatility modeling, derivatives risk management and quantitative financial regulation. Mathieu enjoys high international visibility and his scientific achievements are unanimously recognized by the academic and financial communities.



I am very honored to receive this prize from the LMF, SMAI and Natixis foundation, especially given the previous laureates whom I admire a lot. I am particularly happy to see that our research, which is at the interplay between statistics, practical financial issues and probabilistic modelling was considered of interest by the jury.

Mathieu Rosenbaum

Previous laureates by year

2018 Pauline Barrieu

Professor in statistics at the LSE (London School of Economics and Political Science), is the Head of the Department of Statistics and co-director of the Centre for the Analysis of Time Series (CATS).

As a statistician and actuary, she has addressed many problems that command the attention of the world today: climate science, flood insurance, catastrophe risk, longevity risk, and many aspects of financial risk. Her work often focuses on how we address model risk, uncertainty – and risk sharing under uncertainty.


Damir Filipović

Professor at Ecole Polytechnique Federale de Lausanne, the EPFL, where he holds the SwissQuote Chair of Quantitative Finance.

His early research focused on stochastic processes and their applications in finance. His more recent work is related to systemic risk and its regulation, addressing issues such as the design of central clearing facilities for over-the-counter derivatives and the dynamics of interbank lending rates.

"Damir's international recognition is well established both in academia and in the financial industry. Damir's work offers a great example of what quantitative finance can bring to risk management of financial institutions and the design of optimal regulation for the banking and insurance industries. Damir has brought fresh and original thinking to challenging problems for both the academic and practitioners' communities", explained Michel Crouhy – Chairman of the Natixis Foundation.




Josef Teichmann

Professor of Mathematical Finance at the Swiss Federal Institute of Technology in Zurich (ETH Zurich), which he joined in 2009 after nine years at Vienna University of Technology.

His research in mathematical finance is focused on term structure problems : term structures appear in interest rate markets, or option markets, where comparable products with different maturities are actively traded, e.g., government bonds with different maturities.

"The contribution of mathematical Finance is twofold : first, we provide, analyse and implement new quantitative models built upon most modern mathematical methods to better describe all sorts of risks of the economic systems surrounding us, and, second, we educate our students to apply these models in financial industry in a responsible and critical way. I am honored and extraordinarily happy to receive this prize and I am very grateful to the Academie des Sciences, the Natixis Foundation and SMAI for recognizing the contribution of our fields with this prize" » declared Josef Teichmann.






Nizar Touzi

Professor at Ecole Polytechnique where he is vice-president of the applied mathematics department, co-head of the chair “Derivatives of the Futur” and vice-president of the chair “Finance and Sustainable Development”.

His research focuses on the management of financial risks under market imperfections and model uncertainty, together with the related numerical approximations methods.

"Assessing financial risks is a major challenge for both banks and regulators that involves several areas of mathematical sciences. Receiving this prize from the Académie des Sciences, the Natixis foundation and SMAI in recognition of this evolving branch of research, honors me greatly", declared Nizar Touzi.








Rama Cont

Research Director at CNRS in the department of probabilities and stochastic modeling of University Pierre & Marie Curie (Paris VI), which he joined in 2009 after spending four years at Colombia University (New York).

His research concerns modeling extreme risks –discontinuity, systemic risk, endogenous risk- in financial markets.

Rama Cont a effectué des travaux en théorie des probabilités sur les processus à sauts appliqués aux produits dérivés.

"The mathematical and economic modeling of financial risks is a major challenge for research and concerns several areas of mathematical sciences. I am honored to receive this prize and grateful to the Académie des Sciences, the Natixis foundation and SMAI to recognize this evolving branch of research with this prize" declared Rama Cont.

In consultation with the French Academy of Sciences, the 2009 edition of the Grand prix, originally scheduled in 2009, was postponed one year due to the world financial crisis.


Huyen Pham

Professor at University Paris VII in the Probabilities and Stochastic Modeling research laboratory and junior member of the Institut Universitaire de France since 2006.

His major contributions concern the use and development of stochastic control methods to determine investment or risk hedging optimal strategies in the areas of finance and insurance.