Matthew Dixon Email & Phone Number
@iit.edu
4 phones found area 901 and 650
LinkedIn matched
Who is Matthew Dixon? Overview
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Matthew Dixon is listed as AI Consultant at Quiota, based in Santa Monica, California, United States. AeroLeads shows a work email signal at iit.edu, phone signal with area code 901, 650, and a matched LinkedIn profile for Matthew Dixon.
Matthew Dixon previously worked as Professional songwriter and rock music at Goth Soul and Technical Co-Founder & Chief Risk Officer at Cfx Labs. Matthew Dixon holds Postdoctorate, Computational Math & Engineering from Stanford University.
Email format at Quiota
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AeroLeads found 3 current-domain work email signals for Matthew Dixon. Compare company email patterns before reaching out.
About Matthew Dixon
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).
Listed skills include Monte Carlo Simulation, Quantitative Analytics, Quantitative Finance, Machine Learning, and 27 others.
Matthew Dixon's current company
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Matthew Dixon work experience
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Professional Songwriter And Rock Music
CurrentI 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.
Technical Co-Founder & Chief Risk Officer
Co-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 Mathematics
Tenured 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 & Finance
I 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.
Consulting Quantitative Analyst
Contracted 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.
Arthur Krener Visiting Assistant Professor In Applied Mathematics
Published 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 Engineering
Department of Defense funded research on simulating the mechanical properties of new bullet absorbing gels for lightweight infantry armor.
Quantitative Risk Manager
Structured 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.
Quantitative Risk Methodology Consultant
Designed 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.
Front Office Quantitative Developer
C++ 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 Consultant
UK Defense systems software engineer specializing in porting legacy distributed client-server military simulation applications to CORBA based network systems in C#.
Matthew Dixon education
Postdoctorate, Computational Math & Engineering
Phd, Applied Mathematics
Msc, Parallel And Scientific Computing
Meng, Civil Engineering
Frequently asked questions about Matthew Dixon
Quick answers generated from the profile data available on this page.
What company does Matthew Dixon work for?
Matthew Dixon works for Quiota.
What is Matthew Dixon's role at Quiota?
Matthew Dixon is listed as AI Consultant at Quiota.
What is Matthew Dixon's email address?
AeroLeads has found 3 work email signals at @iit.edu for Matthew Dixon at Quiota.
What is Matthew Dixon's phone number?
AeroLeads has found 4 phone signal(s) with area code 901, 650 for Matthew Dixon at Quiota.
Where is Matthew Dixon based?
Matthew Dixon is based in Santa Monica, California, United States while working with Quiota.
What companies has Matthew Dixon worked for?
Matthew Dixon has worked for Quiota, Goth Soul, Cfx Labs, Illinois Institute Of Technology, and University Of San Francisco.
How can I contact Matthew Dixon?
You can use AeroLeads to view verified contact signals for Matthew Dixon at Quiota, including work email, phone, and LinkedIn data when available.
What schools did Matthew Dixon attend?
Matthew Dixon holds Postdoctorate, Computational Math & Engineering from Stanford University.
What skills is Matthew Dixon known for?
Matthew Dixon is listed with skills including Monte Carlo Simulation, Quantitative Analytics, Quantitative Finance, Machine Learning, R, Statistical Modeling, Numerical Analysis, and Mathematical Modeling.
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