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.
Faster, Better, & Cheaper
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).
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.
Intrigued? Want to learn more? Discover how we are using artificial intelligence to revolutionize the world of derivatives trading.
Our Publications
The paper that started it all: “Deeply Learning Derivatives”
Ferguson, R. and A. Green (2018). Deeply Learning Derivatives. SSRN
Find out “How One Company Made Its Analytics Investment Pay Off”
Murillo, Jose A., Yuri Levin, Mikhail Nediak, and Ivan A. Sergienko. “How One Company Made Its Analytics Investment Pay Off.” Harvard Business Review, January 22, 2018.
Learn about “Correspondent Banking Networks”
Safaei Nima and Ivan A. Sergienko. “Correspondent Banking Networks: Theory and Experiment.” arXiv:1912.02262, December 6, 2019.
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.
Kareem focuses on building the AI models Riskfuel uses to accelerate valuations. Previously, he was a strategist at Scotiabank. Kareem has a MSCF from Carnegie Mellon University, and a BSc from McMaster University.
Dániel is an AI Researcher at Riskfuel. Previously, he was a Quantitative Analyst at Scotiabank and worked on quantum computing applications at 1QBit. Dániel has a B.Sc. in Computer Science and a B.Comm. in Finance from the University of Calgary.
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.
Careers at Riskfuel Analytics
We are looking for talented individuals to join our growing team
Our Partners
Contact
Interested in learning more?
Talk to one of our experts today
sales@riskfuel.com
Toronto
140 Yonge Street, Toronto, ON M5C 1X6
London
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