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Salman Arif

Salman Arif

Group Product Manager, Borealis AI (Royal Bank of Canada)
Canada
Champion in deploying supervised, unsupervised, generative and reinforcement learning algorithms in capital markets across equity & commodity algo trading, high-frequency relative-return predictions and sensitivity calculations of complex derivative contracts
Biography

Salman is Group Product Manager at Borealis AI and leads the implementation of Artificial intelligence in Capital Markets. Salman specializes in building high powered ML teams that take ideas from fundamental research and convert them into trading solutions that power global markets. Salman is a thought leader in this space and advises firms on structural changes required to transform organizations from nascent to ML-first. Salman is currently responsible for designing and deploying AI-powered trading algorithms, deep learning & reinforcement learning platforms for alpha strategies, and explainable AI products for global markets. Salman holds a BEng. (Hons) in Electrical and Electronic Engineering from the University of Nottingham, an MSc. in Financial Mathematics from the University of Leeds, and Masters of Management in Artificial Intelligence from Queen’s University. Salman’s interest areas are Reinforcement learning, Deep Learning, Online Learning, Natural Language Processing, and Time series analysis.

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