Trader | Scientist | Consultant | Entrepreneur
Ben is the founder and Managing Director of Algorithmic Sciences, a scientific research and consulting firm with a track record in developing institutional-grade validation procedures and systems for generating and executing portfolios of positive expectancy intraday trading strategies, using proprietary statistical analysis and robustness testing methods.
With a foundation in specialized programming languages, Ben has managed complex software projects since 2001. Ben’s specialties include the validation of manual, semi-automated and automated speculative trading strategies, developing distributed research infrastructure and Execution and Order-Management systems, risk management and monitoring systems, and securely operating and optimizing the underlying infrastructure.
Before focusing on Algorithmic Sciences during his career as an entrepreneur, Ben co-founded a consulting firm dedicated to data-driven methodologies to promote business growth, a data-science based wholesale trading company, and an information security consulting and private counterintelligence firm, where the scope ranged from information security auditing, consulting on cyber-warfare, and ISO 27001 auditing, policy development, implementation and management of Sarbanes-Oxley compliant infrastructure operations, and technical consulting and vulnerability testing in line with PCI-DSS requirements for multinational corporations.
Ben has the academic title of Professor of the Practice at the College of Engineering at Carnegie Mellon University, where he teaches Quantitative Finance and Algorithmic Trading to grad students.