Faisal Habib

Faisal Habib

Business Developer & Lab Manager

Mathematics, Analytics, and Data Science Lab

Biography

Faisal Habib manages the research portfolio at the Mathematics, Analytics, and Data Science Lab at the Fields Institute. Faisal has over two decades of experience in various capacities at financial and technology firms. Faisal was instrumental in the success of QWeMA Group – a fintech startup incubated at the Fields Institute and later acquired by Cannex Financial Exchanges where he assumed the role of VP of Research.

Faisal is a lecturer at the Schulich School of Business at York University (Toronto) where he teaches graduate and undergraduate courses. He also runs a bootcamp on probability, linear algebra, and algorithms at University of Toronto for incoming graduate students in the MScAC programme.

Faisal has worked as a software design engineer at technical firms in Canada and USA. He is a certified Financial Risk Manager and is registered as a Professional Engineer in the province of Ontario (Canada).

Faisal is an avid runner and enjoys landscape photography.

Interests
  • Artificial Intelligence
  • Quantitative Finance
  • Computer Vision
Education
  • MSc Applied Computing, 2020

    University of Toronto

  • Graduate Diploma Financial Engineering, 2008

    Schulich School of Business, York University

  • MBA Business Management, 2000

    St. Edwards University

  • BSc Electrical Engineering, 1996

    University of Texas (Austin)

Skills

Python
Quant Finance
ML/AI
Business Management

Experience

 
 
 
 
 
Business Development and Project Management (MADS Lab)
March 2021 – Present Toronto
  • Establish a mathematics consultancy and build a portfolio of research projects with a key focus on health analytics and advanced modelling.
  • Develop and forge relationships with industry partners to bring research projects to the lab.
  • Build and lead a team of highly qualified personnel with domain expertise to ensure quality research with tangible outcomes. Provide development and growth opportunities to new researchers with exposure to industry research projects.
  • Foster an environment of collaborative research from multiple disciplines.
  • Liaise with funding partners and grant agencies to develop grant proposals and research budgets.
 
 
 
 
 
Sessional Lecturer
May 2012 – Present Toronto
  • Instructor for the Structured Products course in the Master of Finance program.

  • Instructor for Advanced Personal Finance: Retirement Income Models course in the BBA program.

 
 
 
 
 
VP Research
October 2013 – August 2019 Toronto
Reported to the COO. Joined CANNEX as part of the QWeMA Group that was acquired by CANNEX in October 2013. Responsible for the management of the Research Group overseeing a team of financial quant analysts, financial engineers, and mathematicians engaged in a multi-disciplinary approach to wealth management analytics with a focus on commercialization of the group’s R&D. Served as subject matter expert (internally & externally) working with clients and regulators in addressing the challenges encountered within the industry. Provided strategic direction in the promotion and implementation of analytics within current product offerings. Represented CANNEX at various industry conferences as well as the Industrial Alliance Board at the Fields Institute for Research in Mathematical Sciences.
 
 
 
 
 
COO & Director of Financial Engineering
January 2008 – September 2013 Toronto

Startup incubated at the Fields Institute that was acquired by CANNEX Financial Exchanges Limited.

Reported to the President. Responsible for the daily business activities and decisions of the company. Oversaw the design, development, and operation of financial/retirement income software. Involved in product development, human resources, marketing & sales, contract negotiations, patent & legal applications, and SR&ED tax filings. Interact with potential clients & media and assist them in understanding the complex retirement income models.

Projects

Optimal Lifecycle Capital

Optimal Lifecycle Capital

Imagine for a moment that I have perfect information. I am currently 45 years old, I will retire at age 65 and live to age 95. I earn $100,000 a year which will keep pace with inflation running at an annual clip of 2%.

Recent Publications

(2024). Using Advanced Convolutional Neural Network Approaches to Reveal Patient Age, Gender, and Weight Based on Tongue Images. BioMed Research International.

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(2022). MERCI: A Machine Learning Approach to Identifying Hydroxychloroquine Retinopathy using mfERG. Documenta Ophthalmologica (145).

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(2018). Optimal Allocation to Deferred Income Annuities. Insurance: Mathematics and Economics (90).

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(2017). Spending in Retirement. CANNEX Research Whitepaper.

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