Mathematics & Fintech

innovation in investing

 


Since the work of Nobel Laureates Markowitz, Sharpe, Merton, Scholes and others, quantitative analysis has become an increasing actor in the world of finance. With the latest developments in data science and machine learning, mathematics has moved to the forefront of much of contemporary investing.

In a post-COVID world, public policies, stakeholder interests and regulation are bringing social issues to the forefront of financial markets. ESG, climate risk, CO2 emissions, biodiversity and, in general, the 17 sustainability targets of the United Nations are changing the financial landscape in a way never seen before. Data science, machine learning and artificial intelligence are becoming the best technological allies to these challenges, and a substantial part of my activity is focused on that.

 training and research


I believe that the challenges to build a successful career goes through practical training to allow individuals to adapt to a rapidly changing environment. MMF, RiskLab and the FIT Centre are devoted to transform individuals and corporations in the talent development area and in building career services.

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commercial solutions


The investment sector is being disrupted by an intense internal technology vortex. Problems arising from ESG and climate solutions find answers in the commercial delivery of AI/ML solutions, such as the one by Risklab Centre, Metaversitas Inc. and SR.ai

the university of the future


The technology and social revolution does affect Universities too; innovative degrees, such as the MMF, which focus on learning for professional success are the way of the future.

FIT Centre and Risklab are positioned to bring the University network to new heights

Editorial work

I serve on the editorial board of several publications dedicated to mathematics and financial risk management

“Confidence is going after Moby Dick in a rowboat and taking the tartar sauce with you.”
― Zig Ziglar

Risk Management in Financial Institutions

Journal of Risk Management in Financial Institutions is the essential professional and research journal for all those concerned with the management of risk at retail and investment banks, investment managers, broker-dealers, hedge funds, exchanges, central banks, financial regulators and depositories.

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Asia-Pacific Journal of Operational ResearchVol. 28, No. 01 (2011)

Risks are traditionally defined as the combination of probability and severity, but are actually characterized by additional factors. We believe the characteristics of risks include uncertainties, dynamics, dependence, clusterings and complexities, which motivate the utilization of various operational research tools. The objective of this issue is to survey the practice of using operational research tools in risk management, especially Asian risk management.

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Partial Differential Equations and Their Applications

A co-publication of the AMS and Centre de Recherches Mathématiques

This volume presents lectures given at the 1995 Annual Seminar of the Canadian Mathematical Society on Partial Differential Equations and Their Applications held at the University of Toronto in June 1995.

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Trading & Risk Magazine

A publication of RiskMathics, the training and trading company based in Mexico, a leader in trading education in LatAm.

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