Keywords
Fields of Research (FoR)
Financial mathematics, Stochastic analysis and modelling, Insurance studies, Probability theory, Applied statistics, Numerical solution of differential and integral equations, Time series and spatial modellingBiography
Len Patrick Garces is an applied mathematician whose research interests lie within the field of financial and actuarial mathematics, primarily on the applications of probability theory and stochastic analysis to tackle financial and actuarial problems (e.g. financial or insurance risk modelling and management, asset price modelling, term structure modelling, pricing and hedging financial derivatives) and the development of numerical and...view more
Len Patrick Garces is an applied mathematician whose research interests lie within the field of financial and actuarial mathematics, primarily on the applications of probability theory and stochastic analysis to tackle financial and actuarial problems (e.g. financial or insurance risk modelling and management, asset price modelling, term structure modelling, pricing and hedging financial derivatives) and the development of numerical and statistical methods to solve these problems.
He is currently a Senior Lecturer at the School of Risk and Actuarial Studies, UNSW Business School. Prior to commencing at UNSW, Len was a Lecturer and Program Director of Quantitative Finance at the University of Technology Sydney (2023 - 2026) and a Senior Research Associate at the ARC Centre of Excellence in Population Ageing Research (2021 - 2023).
Len obtained his PhD from the University of South Australia in 2021. His PhD research focused on the use of stochastic volatility and jump-diffusion models and formulating corresponding numerical methods for option pricing. Len graduated in 2014 a BSc in Applied Mathematics (Mathematical Finance) and a BA in Economics and from Ateneo de Manila University. He obtained his Masters in Applied Mathematics (Mathematical Finance) in 2015 from the same institution.
My Qualifications
- Doctor of Philosophy, University of South Australia
- Master of Applied Mathematics (Major in Mathematical Finance), Ateneo de Manila University, Philippines
- Bachelor of Science in Applied Mathematics (Major in Mathematical Finance), Ateneo de Manila University, Philippines
- Bacheror of Arts (Major in Economics), Ateneo de Manila University, Philippines
My Awards
- 2026: Ragnar Norberg Memorial Prize 2025, International Actuarial Association (IAA) Life Section (IAALS)
- 2018-2021, 2015: Loyola Schools Scholarly Publication Awards, Ateneo de Manila University, Philippines
- 2020: Ateneo Research Institute of Science and Technology Publication Awards, Ateneo de Manila University, Philippines
- 2020: IMS Hannan Graduate Student Travel Award, Institute of Mathematical Sciences
- 2018: UniSA International HDR Scholarshop and Research Training Program International Stipend, University of South Australia, Australia
- 2018: Loyola Schools Faculty Development Grant for Graduate Studies Abroad, Ateneo de Manila University
My Research Activities
Len currently works on applications of stochastic analysis to financial and actuarial problems, namely stochastic mortality modelling, option pricing, and financial risk modelling. Current projects include:
- Design, valuation, and evaluation of retirement income and insurance products
- Stochastic mortality modelling and applications to actuarial valuation
- Robust optimal control in financial and insurance contexts (e.g. optimal consumption and investment, indifference pricing, optimal dividend problems)
- Machine learning methods for climate modelling and forecasting and applications to insurance and financial problems
- Optimal quantization methods for stochastic optimal control
His research has been published in leading journals in actuarial science, operations research, and quantitative finance such as the ASTIN Bulletin, the European Journal of Operational Research, and Quantitative Finance.
My Research Supervision
Areas of supervision
I am available to discuss HDR supervision opportunities on the following topics:
- Design, valuation, and evaluation of retirement income and insurance products
- Stochastic mortality modelling and applications to insurance and actuarial valuation
- Robust optimal control in financial and insurance contexts (e.g. optimal consumption and investment, indifference pricing, optimal dividend problems)
- Machine learning methods for climate modelling and forecasting and applications to insurance and financial problems
Currently supervising
- Damiru Ranasinghe (2026 to present), Master of Science (Research): Mathematical Sciences, University of Technology Sydney [Co-supervised with Erik Schlogl (UTS)]
- Abdullah Radwan (2024 to present), Doctor of Philosophy: Mathematical Sciences, University of Technology Sydney [Co-supervised with Stephen Woodcock (UTS)]