SARs (Suspicious Activities Reports) are the forms that financial institutions use to report any suspected activity. Literature shows that the user interface will affect the data provided by users, because of many psychological reasons like different biases and cognitive shortcuts. Data collected is typically analyzed with machine learning algorithms. Different user interfaces provide different levels […]

This project will develop the brand and improve the ways we manage the community relationships at both regional and national levels. The internship will be assessing evolving new marketing strategies and looking at creating impactful content, including short videos for different media channels. The project involves revamping the Westland brand through collaboration with internal clients […]

The proposed research project, undertaken by the intern, is devoted to the modeling of currency trading markets and their derivatives in Markov-modulated environment and possible creation proprietary algorithm trading software for this case with EUR/USD as a trading model. The research covered by these activities will include the development of the domestic and foreign equity […]

This project involves participation in the benefits research and analysis market. At Westland, we will be starting to revamp our benefit plan this summer and the intern will have exposure to participate in research related to benefits best practice, as well as be involved in learning about costs and implementation procedures. The People and Performance […]

Debican is a Canadian startup with the mission of preparing youth for their future financial life through real-life experience through their digital city App for youth where they will be able to learn money management. Under parental control, Debican will give youth their own debit cards to shop in the Debican city marketplace and will […]

In this role, the intern works in coordination with two Risk Technician Team Leads to achieve several projects to aid in the bigger goal of making Iridium a lean organization. The student will join the Risk Technician group meetings and will use the group as a resource throughout their internship for additional learning opportunities. The […]

In an age of so many new wearable devices, e.g., smartwatches, glasses, rings, clothing, and so on, headphones can be recognized as the first widely adopted wearable device. They have been around for more than a century and have been used mostly as an output device for listening to music, or, in the recent decades, […]

A critical part of our success in building one of the largest Brokerages in Canada has been the ability to attract and retain excellent Mortgage Agents, and assist them in their individual success. A key element of that retention and acquisition and assistance has been the power of our proprietary software systems. Our current system […]

This project will apply causal discovery methods to two model-generated datasets. One is a dataset describing the transport of emerging contaminant metformin in the groundwater; the other is a card fraud transaction dataset. The method will examine the dataset’s underlying structure (data skeleton). Multiple new methods will be evaluated and tested on the datasets. The […]

The main goal of the project is to design and implement a new and improved financial and technical analysis strategy that would use historical trading protocols of the past 20 years. This would be done by researching how the knowledge of the operators can be codefide, automated, and integrated into the current technology platforms being […]

GNV is seeking an intern to assist with a project to improve and document the venture capital investment process. This includes outbound deal flow sourcing of early stage technology startups, evaluation of startups, due diligence and supporting investees. Furthermore, some supporting duties related to the investment process such as outreach communications within the venture capital […]

The overall goal of this work is to use interactive machine learning to enhance current methods for detecting data exfiltration. This includes more efficient and scalable approaches for detecting and screening potentially malicious activities. The proposal work will proceed in two stages, first focusing on the work of the corporate data analysis team in screening […]