We have an amazing team of talented people with expertise in quantitative finance, trading, machine learning, topology, and software engineering
It's all about the people
The success of a company is always about the team
Meet Our Team
Prior to starting Riskfuel, Ryan was Managing Director and Head of Securitization, Credit Derivatives and XVA at Scotiabank. Previous roles have included credit correlation trading and managing the equity derivatives trading desk. Ryan began his career with positions in risk management and financial engineering. Ryan has a PhD in Physics from Imperial College, and a BASc and MASc in Electrical Engineering from the University of Waterloo.
Maxime conducts cutting edge research in applied machine learning and the topology of high dimensional data. Prior to joining Riskfuel, Maxime was a faculty member in the Department of Mathematics at the University of Chicago where his research program focused on understanding the shape of high dimensional parameter spaces. He has a PhD in Mathematics from the University of British Columbia and a BSc/MSc in Mathematics from McGill University.
Marian is Chief Administrative Officer and oversees financial, administrative, and marketing business at Riskfuel. Marian has a BASc and MASc in System Design Engineering from the University of Waterloo.
Addison is a DevOps engineer focusing on distributed systems. Before joining Riskfuel he was a Data Scientist with the Office of the Chief Information Officer of Canada.
Jordan is Riskfuel's senior software engineer and has a passion for creating safe, simple, and reliable code.
Jake designs, builds, and implements the AI models Riskfuel uses to accelerate valuations. He was previously a Senior Data Scientist at Jefferies in New York, and holds BAs in Applied Mathematics and Statistics from U.C. Berkeley.
Craig has a BSc in Computer Science from the University of Toronto. Before joining Riskfuel, he interned at RBC and RSA Insurance. At Riskfuel, Craig works as a DevOps Engineer focusing on distributed systems
Matthew has his BASc in Computer Engineering from University of British Columbia. He enjoys optimizing and streamlining complex systems.
Dmitry is interested in Machine Learning and building highly-available reliable systems serving a big number of requests per second. Prior to joining Riskfuel, Dmitry worked on search and recommendation SaaS applications and a machine learning platform. Dmitry has a PhD in physics. In his spare time he likes to explore unpaved trails around Toronto on his mountain bike.
Terence is interested in Deep Learning and Reinforcement Learning applied to capital markets applications both from the research and the production side. Prior to joining Riskfuel, Terence worked as a Quantitative Developer at Consilium Crypto in Montreal, Quantitative Analyst within the Investment Research team of Wealthsimple in Toronto, and at Desjardins Global Asset Management within the Canadian Equity team. Terence is a Calvin Potter Fellow of Concordia University’s Kenneth Woods Portfolio Management Program and completed his Bachelor’s degree in Computer Science.
Nick has a BASc in Computer Engineering from the University of British Columbia and a MASc in Computer Engineering from the University of Toronto. At Riskfuel, Nick works on optimizing the model training pipeline and conducts research on the use of deep learning for volatility surfaces.
Gabriel researches and develops Machine Learning algorithms to tackle challenging problems in quantitative finance. Prior to joining Riskfuel, he was working as a Senior Manager in counterparty credit risk at Scotiabank. Gabriel holds a PhD in particle physics from McMaster University during which he was a resident at the Perimeter Institute for Theoretical Physics.
Mansour is an AI Research Scientist at Riskfuel. Prior to joining Riskfuel he worked at Scotiabank and CIBC in both quant and data scientist roles. He has a PhD in Physics from the University of Waterloo and Perimeter Institute for Theoretical Physics. Mansour's interests include quantitative finance, data science and high performance computing.
Wenbo joined Riskfuel as an AI research engineer. He has a background in computatinal fluid dynamics. Prior to joining Riskfuel, Wenbo worked on developing simulation code for the aerospace sector. He holds a PhD degree in mechanical engineering from McGill University and a MS degree in aerospace engineering from UIUC.
Philippe conducts research in applied machine learning and is specialized in time series modeling. He completed its PhD in computer science at the University of Sherbrooke where his research focused on developing time series models with adaptive computation. Before joining Riskfuel, he worked at Laplace Insights as the lead machine learning researcher developing time series model for Dynamic Global Macro and low-volatility ESG portfolio strategies and at the financial innovations and risk management Labs at McGill.
Zach Shaver studied Computer Science before working for a few years in the Engineering industry. He is passionate about creating fast, effective, user-friendly applications.
Bilun is working towards a BASc in Mechatronics Engineering from the University of Waterloo. At Riskfuel, Bilun reads some of the latest machine learning papers and applies the findings to improve the company's AI models.
Killian is a DevOps engineer. Prior to joining Riskfuel, he worked as a DevOps engineer with HPE GreenLake in Ireland. He has a Master degree in Telecommunications, Networks and Computers Science from IMT Atlantique in France.
Nik is a Ph.D. Candidate at McMaster University performing research in the area of unsupervised learning and statistical software. At Riskfuel, he is interested in developing new techniques for understanding deep networks, and better training data selection.
Matt is an AI Research Engineer at Riskfuel. He has 14 years of diverse fintech experience, including extensive work with derivatives pricing models in all asset classes. Over the past 5 years Matt has specifically focused on algorithmic trading in the digital asset space. Matt is passionate about derivatives, high performance computing, and machine learning.
Naomi is a candidate for a BASc in Biomedical Engineering from the University of Waterloo. She is interested in applications of Machine Learning to solve complex problems.
Elbert works on the research team at Riskfuel. He is working towards his Master’s degree in data science and artificial intelligence at the University of Waterloo. Chat with him about anything from data science to sports to Rubik’s cubes!
Ernest is a DevOps Engineer looking to expand his knowledge in the Cloud Native space. He is currently a 4th year student at the University of Waterloo studying Computer Engineering (BASc).
Gary has been a founding partner of 3 fintech firms with clients including major banks, funds, and financial institutions such as TriOptima and CME. Prior to that, he was a successful quant trader and the head of a trading group, overhaling Trading, Risk, Modelling and FO IT Infrastructure to increase revenue by 500%. Gary has a PhD in Physics from Imperial College.
Meet Our Advisors
We grateful to our advisors for their valuable insights and advice.
Currently visiting professor at Imperial College London, Vlad has over 20 years experience in derivatives and quantitative analytics at Macquarie Group, Barclays, Nomura and TD Bank.
Rob is the senior advisor for fintech at MaRS Discovery District helping startup companies launch, grow and scale up to meet their business and social impact goals.
Work With Us
Please check back soon!
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