As Chief Science Officer, Ian is responsible for leadership and delivery of advanced analytical projects in Canada and globally. He received a Ph.D. in Physics in 1993 from Harvard University.
Positions in private industry include VP at Lattice-Engines, a Silicon Valley big data company, CTO of Angoss, a Toronto-based analytics software and solutions company serving banking and the broader financial services industry and Data Scientist at Capital Fund Management, a Paris-based hedge fund.
Ian's academic career includes professor and postdoctoral positions at the University of Wisconsin-Madison, Stanford University, and CERN (European Centre for Particle Physics Research in Geneva).
Ian also sits on advisory boards for Queen's Smith School of business and York University.
Skills
- 20+ years of experience in delivering Machine Learning projects, solutions and software for financial services and other industries
- Development of solutions for large scale, data-intensive projects, including client and engagement management and implementation and development of advanced machine learning algorithms.
Representative Experience
- Global lead for Deloitte's Cognitive Risk Sensing Program to provide our clients with advanced warning of impending risks based on analysis of unstructured social, traditional media and internal data. Risk areas include cyber, supply chain, brand and reputation, and conduct.
- Leadership of multiple engagements with marquee Canadian companies to identify employee misconduct leveraging AI, Agile and Design Thinking concepts
- Leadership of Deloitte's Analytics Academy program to educate client executives on AI.
- Leadership of multiple customer and credit risk analytics engagement leveraging the unique capabilities of open source machine learning tools on Hadoop to analyze extremely large data sets of over a billion records, capturing every customer in-person, online and phone interaction with two Tier 1 Canadian banks
- CTO for Angoss, a Gartner-rated provider of advanced analytics software to global enterprises.
- Management of a large, multidisciplinary team to provide anti-money laundering transaction monitoring to a pillar of Tier 1 Canadian bank. The engagement also involved successfully transferring the capability to the bank
- Developed and delivered a mutual fund predictive SaaS solution that has delivered over one billion dollars in incremental assets under management since its inception in 2005. It is currently deployed at companies representing over a trillion dollars in assets under management.
- Consulting and training in credit risk and marketing analytics for banks and credit card providers delivering. Clients include Bank of America, HSBC, Wells-Fargo, Citi, BMO, RBC, JP Morgan, US Bank, Master Card, MBNA, PayPal, Experian and Equifax.
Predictive analytics solution to deliver fraud detection, pricing, and sales and marketing targeting in a hosted, SaaS environment for several top Canadian benefits providers
- Successful implementation of an operational fraud detection solution for a major North American stock exchange.
- Implementation of automated statistical trading strategies and risk control models for CFM's hedge funds
- Option pricing for UBS-Warburg, a major Swiss bank trading derivatives on the Chicago Board of Exchange
Professional Career
- 9/2013 - Present Chief Data Scientist, Deloitte LLP (Toronto)
- 4/2011 - 9/2013 VP Customer Solutions, Lattice (California)
- 12/2010 - 4/2011 Chief Technology Officer, ANGOSS Software (Toronto)
- 7/2002 - 12/2010 VP Consulting/Client Services, ANGOSS Software
- 5/2000 - 7/2002 Senior Consultant, ANGOSS Software
- 6/1999 - 5/2000 Senior Quantitative Analyst, Capital Fund Manager (Paris)
- 6/1993 - 6/1999 Associate Professor, University of Wisconsin Madison (California)
- 6/1989 - 5/1993 Research Associate, CERN (Geneva)
Education
- 1993, Harvard University, Ph.D. in Physics
- 1988, McGill University, B.Sc. in Physics (Honors)
Awards Received
- Full Tuition Award, Harvard
- NSERC 1967 Scholarship, Government of Canada
- Horace Watson Medal for Physics, McGill
- Robert E. Bell Prize in Physics, McGill
- E.P. Aikman Prize in Physics, McGill
- J.W. McConnell Scholarship, McGill
- University Scholar & First Class Honors, McGill
- 2010, 2013 and 2017 Canadian National Masters Cycling Champion
- 2010, 2012-2016 Ontario Masters Racing Cycling Champion
- Represented Canada at the 2017 and 2018 World Cycling Championships
Language skills
- English (mother tongue)
- French (fluent)