MathFin.University of Toronto

Advancing the Future ofMathematical Finance

The mathematical finance group at the University of Toronto is one of the largest in North America. We conduct cutting-edge research at the intersection of theory and application, and train the next generations of talents in academia and industry.

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About Our Research Group

Advancing Mathematical Finance Through Research and Collaboration

We are a globally renowned research group advancing mathematical finance through rigorous research, interdisciplinary collaboration, and the training of emerging scholars.

Faculty Expertise

Our faculty are experts in mathematical finance, stochastic control, risk, insurance, and related fields.

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Research Excellence

We develop mathematical, statistical, and computational methods for problems in finance, insurance, and risk.

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Foster Talent

We train outstanding PhD students and postdoctoral researchers to become future leaders in academia and industry.

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Teach at Every Level

Teach and mentor students across undergraduate, graduate, and professional programs. Many of our members contribute to the Master of Financial Insurance (MFI) program.

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Research Areas

Stochastic Control & Optimization

Mathematical methods for dynamic decision-making and optimization in uncertain and evolving environments

Selected publications

Mean-Field Games & Equilibrium

Models of strategic interactions, equilibrium, and collective behavior in large populations of agents

Selected publications

Risk Management & Robustness

Methods for measuring, managing, and optimizing risk under model uncertainty, dependence, and ambiguity

Selected publications

Deep Learning & Reinforcement Learning

Data-driven methods for prediction, representation learning, and sequential decision-making in finance, insurance, and risk

Selected publications

Portfolio Theory & Asset Management

Quantitative methods for portfolio construction, asset allocation, performance, and investment under uncertainty

Selected publications

Actuarial Science

Mathematical and statistical methods for insurance, including loss modelling, pricing, risk aggregation, risk sharing, and capital allocation

Selected publications

Trading & Market Microstructure

Mathematical models of trading, liquidity, price formation, market impact, and information in financial markets

Selected publications

Optimal Transport & Information Geometry

Geometric and probabilistic methods for comparing distributions, modelling uncertainty, and solving problems in finance and statistics

Selected publications

Applied Probability & Stochastic Processes

Probabilistic models and stochastic-process methods for complex systems in finance, insurance, and related fields

Selected publications

Energy & Sustainable Finance

Mathematical models for energy markets, climate risk, renewable investment, and the transition to sustainable financial systems

Selected publications

News

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Mathematical finance group organizing FMF200 for U of T's bicentennial

The Future of Mathematical Finance will bring the mathematical finance community together at the University of Toronto from May 26–28, 2027.

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Sebastian Jaimungal appointed Editor-in-Chief of SIAM Journal on Financial Mathematics

Professor Sebastian Jaimungal will serve as Editor-in-Chief of the SIAM Journal on Financial Mathematics beginning January 1, 2027.

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Professor Leonard Wong appointed Academic Director of the Master of Financial Insurance program

Professor Leonard Wong has been appointed Academic Director of the University of Toronto's Master of Financial Insurance program.

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