Lead Data Scientist


Alik is a mathematician and data scientist, and holds a Master’s degree in Mathematics from the University of Toronto, as well as the CFA designation. Alik has extensive practical experience with machine learning, with a career focus in applying and creating machine learning algorithms to tackle problems within the financial services industry. As a lead data scientist at Deloitte, he has built models and led teams that created envelope-pushing solutions in banking, using advanced techniques to tackle complex business problems.

Alik is also involved with enterprise analytics and AI strategy, both internally for Deloitte and with large Canadian enterprises, helping define AI strategy, talent models, toolset & best practice choices for machine learning groups.

Alik has also created courses teaching data science and machine learning that have been delivered to hundreds of Deloitte practitioners, Deloitte clients, as well as his students through a course he delivers at the University of Toronto

Risk Management & Trading Conference 2018

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