Matthew & Petter will be joining the Cornell Financial Engineering Manhattan 2022 Future of Finance Conference as speakers!
Cornell Financial Engineering Manhattan’s 2022 Future Of Finance Conference Speaker Profile: Matthew Dixon 2022 Quant Of The Year
Matthew Dixon is a British applied mathematician working in the area of algorithmic finance. His research focuses on applying concepts in computational and applied mathematics to financial modeling, especially in the area of algorithmic trading and derivatives. Matthew’s research is currently funded by Intel Corporation and he develops codes for high performance architectures. His work in deep learning with Diego Klabjan (NWU) has brought wide recognition and he is a frequently invited speaker at quant and fintech events around the world in addition to be referenced as a computational finance expert in multiple reputed media outlets including the Financial Times and Bloomberg Markets.
Full Conference Agenda
Cornell Financial Engineering Manhattan’s 2022 Future Of Finance Conference Speaker Profile: Petter Kolm 2021 Quant Of The Year
• Awarded `Quant of the Year’ in 2021 by Portfolio Management Research (PMR) and Journal of Portfolio Management (JPM) for his contributions to the field of quantitative portfolio theory.
• Accomplished and results-oriented academic and practitioner with a solid track record in the financial industry as professor (NYU Courant), lead researcher/principal investigator, expert witness and testimony, consultant, and advisory board member. Author of highly-regarded books in quantitative finance and numerous key research publications.
• Effective communicator of results and outcomes, verbally and in writing, to technical and non-technical audiences, peers, clients, board members and stakeholders. Employs active listening and mediation skills to identify key requirements and build consensus. Considerable experience teaching and giving presentations in corporate and academic settings.
• Extensive contact network in the financial and data science industries.
• Invited speaker, presenter and moderator at 15-20 conferences and events in industry and academia annually.
Leadership
• Director of NYU Courant’s Mathematics in Finance Master’s program.
• Advisory Board Member of robo-advisory, asset management, and alternative data / data science companies.
• Editorial board member of several academic and practitioner journals in quantitative finance, portfolio management and financial data science.
• On the Board of Directors of International Association of Quantitative Finance and Yale Graduate School Alumni Association.
Research interests
Alternative data, data science, econometrics, financial mathematics, forecasting models, high frequency trading, machine learning, optimization, portfolio optimization w/ transaction costs and taxes, quantitative and systematic trading, reinforcement learning, risk management, robo-advisory and investing, smart beta strategies, stochastic optimal control, transaction costs, and tax-aware investing.
Full Conference Agenda
See our conversation with Matthew below:
