Financial Social Media Analysis for Canadian Market

With the rise of mobile technology and online communities, social media has become an increasingly important information channel for investors, especially the younger-generation retail investors whose number is rapidly growing. The recent ‘MEME’ stocks phenomenon clearly demonstrates the potential influence of social media on the market. A ‘MEME’ stock refers to a stock that gains […]

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Generalization of SR.ai NLP Algorithms to New Data Sources and Stability Improvements

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment with each passing year, as seen most recently in the aftermath of the impactful 2021 COP26 summit, where responsible investment was key focal point. Directing our financial resources in a sustainable direction has the potential to have […]

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Randomization in Byzantine Agreement

The topic of our research is to study how randomization is used to solve Byzantine Agreement problem in different computational models. Byzantine Agreement is a classic distributed computing problem, where processors try to agree on a value, but some of the processors try to disrupt the agreement or make sure that the algorithm never terminates. […]

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Financial policy implications of large deposits for Indigenous Credit Unions

The project seeks to understand how the financial regulation of large scale cash transactions negatively impacts Indigenous communities. As well as, the time and cost associated with the regulatory burden of tracking large scale transactions for small, Indigenous credit unions. The partner organization, Me-Dian Credit Union, will benefit from cost savings and regulatory changes by […]

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Hailey Logan – Ayrshire

Ayrshire is an investment management firm focused principally on real estate investing in Alberta. We own retail, office and residential properties in multiple markets. Recently we have seen a shift in investment demand associated with new acquisition and developments of multifamily apartment housing in Western Canada. Recently Ayrshire received federal funding through CHMC Rental Construction […]

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Anomaly detection from system logs through deep learning

During the last decade, we observe in organizations a surge of numbers of cyber-attacks originating internally. In this project, we aim to develop deep learning models to detect suspicious activity (such as malicious events, system failure or attacks) from log data generated by the Desjardins ecosystem.

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Relating Quantitative ESG to the Evolving ESG Regulatory / Reporting Landscape

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment in 2021, as seen in the aftermath of the hugely impactful COP26 summit. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals […]

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Advanced Quantitative Behavioral Models for Asset-Liability, Interest Rate Risk, and Liquidity Management in Deposit-Taking Financial Institutions

Cashflow uncertainty due to customer behaviors poses special challenges to a bank’s ability to accurately forecast its future cashflows, and therefore makes its funding and risk management difficult. In the proposed research, we plan to use cutting-edge machine learning techniques to study the behaviors of bank depositors and borrowers in Canada using an extensive proprietary […]

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Graph Feature-Engineering for Scalable Fraud Detection in Commercial Banking

The goal of the research project is to enhance ATB’s fraud detection by incorporating new graph based features. Initially, the project will be focused on figuring out how to use ATB’s data to build graph features. Once the data is processed, these additional graph variables will be used to improve the existing fraud detection machine […]

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Tests for models used in Actuarial and Risk management and Economic forecasting

In Actuarial Science and insurance, models are often used to assess risk using factors such as age, level of education, gender, environment, etc. In practice, there might be unobserved factors. When data are gathered, the accuracy of these models should be investigated. If the model is not well fitted by the data, subsequent influences could […]

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Westland Insurance Group – Communications, New Media, and Technology Internship Project

Westland Insurance has grown into one of Canada’s largest independently owned insurance distribution businesses. Our head office is located in Surrey, British Columbia, and we have over 190 locations across Canada. This internship project will involve identifying the best local and national practices around marketing, communications, media, employee learning management, digital content creation and technical […]

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