Real Time Risk Valuation
End-to-end valuation and risk sensitivities computation is one million times faster. Allows real-time valuation and risk management for the first time. Nightly batch becomes history.
Highly Accurate Valuation
Trade-off between accuracy and performance no-longer necessary. Highly accurate, highly performant valuations and risk management. More risk sensitivities can be calculated (bucket sensitivities, cross-gammas, etc).
Significant Cost Reduction
Performance gain can be directed towards cost reduction. Corporate compute grids cost 10s to 100s of millions annually to operate. Riskfuel technology can dramatically reduce the compute grid requirements.
Our Product Offering
Real Time Risk Valuation
End-to-end valuation and risk sensitivities computation is one million times faster. Allows real-time valuation and risk management for the first time. Nightly batch becomes history.
Highly Accurate Valuation
Trade-off between accuracy and performance no-longer necessary. Highly accurate, highly performant valuations and risk management. More risk sensitivities can be calculated (bucket sensitivities, cross-gammas, etc).
Significant Cost Reduction
Performance gain can be directed towards cost reduction. Corporate compute grids cost 10s to 100s of millions annually to operate. Riskfuel technology can dramatically reduce the compute grid requirements.
Check out the performance of a Riskfuel FX Barrier model on the Microsoft Azure network. The results are impressive
Discover how Riskfuel is using machine learning to revolutionize the world of derivatives trading
Our Partners
Our Publications
Our Team
Riskfuel is building a great team. Our staff have expertise in quantitative finance, trading, machine learning and software development.
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.
Prior to joining Riskfuel, Ivan was Head of Capital Markets Products at Element AI. He has worked at Scotiabank and Oak Ridge National Laboratory, has completed a Ph.D. in Physics and earned a CFA designation.
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.
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.
Kevin has an MSc in Statistics from McMaster University. At Riskfuel, Kevin is developing cutting edge machine learning applications for the capital markets.
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.
Vlad is working towards a Bachelor of Computer Science from the University of Waterloo. At Riskfuel, Vlad works to develop and implement processes for visualizing data with a focus on distributed systems.
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.
Nick has a BASc in Computer Engineering from the University of British Columbia and is currently working towards 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.
Careers at Riskfuel
Founded and managed by Capital Markets industry veterans, Riskfuel is one of the world’s most innovative fintechs. We have pioneered the use of Deep Learning to improve the computational performance of algorithms used by banks and insurance companies by many orders of magnitude. The work is varied, interesting and fast paced, with lots of opportunity to make impactful contributions. We are looking for talented individuals to work and learn alongside colleagues who are leaders in the field.
Riskfuel Analytics Inc. 140 Yonge St., Toronto