Summary
Nima Safaian is a data-driven commercial leader and co-founder with 10+ years of experience at the intersection of energy markets, risk analytics, and decision science. He has led analytics and value-chain optimization teams at Cenovus and global risk solutions at Scotiabank and BP, developing machine learning, Bayesian decision, and big-data platforms that turned complex trading and risk problems into actionable commercial insight. With an engineering foundation in nuclear and management engineering and an MBA in Financial Engineering and Strategy, he blends deep quantitative rigor with practical software delivery across R, Python, Hadoop and Spark ecosystems. Now advising C-suite commercial leaders through Quantim Intelligence, he focuses on monetizing analytics while embedding robust risk frameworks—an approach informed by hands-on experience building production risk platforms and managing cross-disciplinary engineering teams.
10 years of coding experience
17 years of employment as a software developer
M.Eng Nuclear Engineering, M.Eng Nuclear Engineering at McMaster University
B.Eng and Management Engineering Physics, B.Eng and Management Engineering Physics at Faculty of Engineering - McMaster University
MBA Financial Engineering and Strategy, MBA Financial Engineering and Strategy at Schulich School of Business - York University