Decentralized Finance (DeFi) stands for a paradigm shift in digital financial services. The innovative blockchain technology of the cryptocurrency platform Ethereum provides the ability to deploy software programs, which enables the development of virtual cryptoassets and financial services, to lend or exchange them. DeFi services are a rapidly growing ecosystem, with more than 30 billion […]

The business partner is interested in finding ways to further automate small business lending and annual renewals. In recent years, with the improvement in efficient computing and data storage and movement, the use of deposit data in lending has become more prevalent in the industry. Within industry risk managers, it is widely accepted that deposit […]

Ayrshire is an investment management firm focused principally on real estate investing in Alberta. We own retail, office and residential properties in multiple markets and invest in property technology or construction technology operating businesses. We are needing an intern to help gather market, economic and financial data to help identify operating companies where Ayrshire’s multi-family […]

The Risk Summer Intern at Iridium will both gain valuable insights into the day to day workings of a commercial insurance brokerage located within downtown Calgary as well as working as a part of internal projects. These internal projects are aimed under the idea of ensuring we provide the highest standard of service, knowledge transfer, […]

Of G7 nations, Canada has the greatest undersupply of affordable housing, and lowest rate of supply of core housing needs as defined by CMHC. Recently we (Ayrshire) have seen a shift in investment demand associated with new acquisition and developments of multifamily apartment housing in Western Canada. Given it’s strong performance and impact investing nature, […]

Vancouver Foundation (VF)’s Indigenous-led systems change grants support organizations addressing structural inequalities and racism faced by Indigenous organizations in BC. These organizations have historically been marginalized, counted on few resources and spent much of their time reporting to donors and coping with other bureaucratic barriers. This research will bridge the gap by reviewing academic and […]

Le projet vise à analyser les données historiques de l’entreprise afin d’optimiser la tarification proposée à la clientèle.

Le Mouvement Desjardins connaît une importante transition technologique visant à valoriser les données analytiques et informatives. L’un des piliers de sa stratégie est la gestion des talents et du changement et c’est dans ce contexte que s’inscrit le stage Mitacs. Elle contribuera à mettre en place un centre de rétention des talents en données et […]

Confidential data is one of the most precious assets large organizations can have and data theft can be embarrassing and costly. In this research we will carry out innovative research on detecting employee accounts that are exhibiting risky behaviour that may lead to leakage of data, whether carelessly or through malicious intent. It is difficult […]

Predicting policyholders’ claims over a year is crucial for a Property-Casualty insurance company. These expenditures, popularly called losses, are incurred by the insurer when reimbursing the policyholders’ claims. The insurance company is required to pay any legitimate claim made by a policyholder, in exchange the latter pays an amount of money, called the premium, to […]

The application of Transaction Cost Economics (TCE) as a tool to understand managerial decision making has been a contentious issue over the last 35 years. Williamson (1985) founded and defended the TCE theory his entire career, eventually winning the Noble Prize in Economics in 2009. Many management scholars were either skeptical or hostile to the […]

Due to the widespread use of credit cards as a payment method, numerous fraudulent credit card transactions occur, resulting in significant losses for financial institutions. At a high level, the fundamental objective of the project is to improve the performance of fraud detection systems by providing high-quality synthetic data generated by improved deep generative models. […]