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Professional rock musician. Former innovator in the area of statistical and mathematical algorithms with a software engineering background. Co-founder of CFX Labs. Author of a Machine Learning in Finance textbook and several Journal papers on algorithms and models for machine learning, blockchain based technologies. RISK Magazine's Buy-side Quant of the Year (2022). College of Computing Dean's Excellence in Research Award (Junior Professor level), 2021. Tenured Professor (currently on leave) and PI/Co-PI of research funding from Intel, Dell, NASA JPL, and NSF. Research featured in the Financial Times, Bloomberg Markets, Barron's Advisor.Member of the CFA NY Quant Investing Committee. Chartered Financial Risk Manager (FRM). Editorial Associate for the World Scientific Annual Review of FinTech and the AIMS Journal of Dynamics & Games. Google Summer of Code Mentor for the R Statistical Computing Project (2017). Chair of the IEEE/ACM Workshop on High Performance Computational Finance (2010-2015).
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Ai ConsultantQuiotaLos Angeles, Ca, Us
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Professional Songwriter And Rock MusicGoth Soul Feb 2024 - PresentI write and perform alternative rock songs in the style of 80s postpunk and 70s progressive rock and work with producers who have produced music for top artists such as David Bowie, The Cure, Marilyn Manson, Erasure, & Depeche Mode.
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Technical Co-Founder & Chief Risk OfficerCfx Labs Feb 2021 - Jan 2024Chicago, Il, UsCo-founder and head of risk for a venture capital backed Forbes top 20 Chicago Web3 startup. Licensed as a US money transmission provider, MoveMoney.com - our global payments app - is built using our own Solana blockchain based global settlement network and is integrated across 90,000 + major retailer locations in the US. -
Associate Professor Of Applied MathematicsIllinois Institute Of Technology Jul 2015 - Sep 2023Chicago, Illinois, UsTenured appointment. Director of the MAS in Fintech covering disruptive technologies in fintech such as blockchain and AI. Affiliate Professor in the Stuart Business School. Research on machine learning is funded by Intel, Dell, NASA JPL and NSF. -
Assistant Professor Of Analytics & FinanceUniversity Of San Francisco Jul 2012 - Jun 2015San Francisco, Ca, UsI taught graduate level courses in the MS in Analytics (MSAN) and MS in Financial Analysis (MSFA) graduate programs. Subjects that I taught include machine learning, data acquisition, text mining, financial econometrics, derivatives and simulation for risk management. I also served as Director of the Practicums in the MSAN program - an industry project course partnering with around 15 Bay Area companies which maintain a competitive advantage through applying statistical and machine learning techniques to big data in order to, for example, detect fraud, predict traffic delays, power black-outs etc. -
Consulting Quantitative AnalystSilver Lake Kraftwerk Apr 2011 - Jun 2012Menlo Park, Ca, UsContracted by a Sand hill road private equity firm to design and implement exploratory research in the novel application of machine learning for estimating the predictive power of the funding characteristics of private companies. Key contributions include evaluating and aggregating qualitative data sources and products, creative data visualization, mining predictive indicators and designing statistical tests and methodologies to rank private companies within the energy efficiency and resource innovation sectors. -
Arthur Krener Visiting Assistant Professor In Applied MathematicsUc Davis Mar 2009 - Mar 2011Davis, California, UsPublished research on error control in linear solvers for large-scale simulation of integrated water resource models and efficient deployment of risk simulation methods on parallel architectures. Applications include deployment of VaR estimation on GPUs and multi-core CPUs. See below for selected publications. -
Postdoctoral Researcher, Institute For Computational And Mathematical EngineeringStanford University Sep 2007 - Dec 2008Stanford, Ca, UsDepartment of Defense funded research on simulating the mechanical properties of new bullet absorbing gels for lightweight infantry armor. -
Quantitative Risk ManagerBarclays Capital Jan 2007 - Sep 2007New York, Ny, UsStructured credit risk analytics. Prototyped a C#/VBA/Excel Monte-Carlo simulation based multi-factor model for calculating the potential future exposure of heat rate options. Supervised Credit Risk IT with testing and integration into a live risk management system. Improved robustness of model calibration procedure. Provided risk support on fixed income and structured credit products to the structuring desk. -
Quantitative Risk Methodology ConsultantBank For International Settlements – Bis Aug 2003 - Jul 2004Basel, ChDesigned and implemented a simulation based corporate bond portfolio credit loss model based on the Merton approach for comparison with the Basel II economic capital estimation method. The multi-factor credit risk model estimated expected and unexpected credit losses and included country transfer risk effects. For large numbers of obligors, importance sampling was used to accelerate convergence. Produced system requirements and design documentation. Managed transfer of prototype to IT. -
Front Office Quantitative DeveloperLehman Brothers Apr 2001 - Mar 2002UsC++ quantitative developer in the structured credit trading group. Manage batch processes for mark-to-marketing CDS prices. Development of CDO pricing models in c++ and integration with live data feeds and databases. Support of structured credit trading analytics libraries. -
Software Engineering ConsultantElectronic Data Systems Aug 1999 - Sep 2000West Hartford, UsUK Defense systems software engineer specializing in porting legacy distributed client-server military simulation applications to CORBA based network systems in C#.
Matthew Dixon Skills
Matthew Dixon Education Details
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Stanford UniversityComputational Math & Engineering -
Imperial College LondonApplied Mathematics
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University Of ReadingParallel And Scientific Computing
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Imperial College LondonCivil Engineering
Frequently Asked Questions about Matthew Dixon
What company does Matthew Dixon work for?
Matthew Dixon works for Quiota
What is Matthew Dixon's role at the current company?
Matthew Dixon's current role is AI Consultant.
What is Matthew Dixon's email address?
Matthew Dixon's email address is mf****@****ail.com
What is Matthew Dixon's direct phone number?
Matthew Dixon's direct phone number is +190160*****
What schools did Matthew Dixon attend?
Matthew Dixon attended Stanford University, Imperial College London, University Of Reading, Imperial College London.
What are some of Matthew Dixon's interests?
Matthew Dixon has interest in Animal Welfare, Education, Environment, Science And Technology.
What skills is Matthew Dixon known for?
Matthew Dixon has skills like Monte Carlo Simulation, Quantitative Analytics, Quantitative Finance, Machine Learning, R, Statistical Modeling, Numerical Analysis, Mathematical Modeling, Derivatives, Applied Mathematics, Time Series Analysis, Risk Management.
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