Development of New Strategies for L’Arche

The project at L’Arche Fredericton aims to create a sustainable and long-term monthly donor program to support individuals with intellectual and developmental disabilities. The intern will help develop digital fundraising strategies, manage donor relationships, and use data-driven approaches to increase engagement and retention. By the end of the project, the goal is to establish a […]

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Going Up in Flames – Impact of Being Exposed to Beliefs-Altering Residential Fires on Households’ Financial Holdings and Career Path

Canadian households face significant financial risks, including inadequate retirement savings and not being financially resilient to unexpected adverse events. An understanding of why households bear these risks and how their risk attitudes shift with economic shocks is thus critical. Although beliefs and risk perceptions are at the root of households’ financial decisions, the literature is […]

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Enhancing Predictive Power in Financial Markets: Leveraging Autoencoders for Time Series Embeddings in Capital Markets

This project aims to develop a robust foundation model designed explicitly for financial time series representation learning. The core of this approach is an autoencoder framework capable of capturing multi-modal relationships in financial data. Once trained, the encoder will be deployed as a general-purpose model for various downstream financial tasks, including predictive analytics and asset […]

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Westland Insurance

Westland Insurance is a rapidly growing insurance provider dedicated to making insurance more accessible and engaging for clients and communities. As the organization expands, the need for a structured and effective Learning & Development (L&D) strategy becomes critical. One major challenge is ensuring that employees have access to engaging, well-organized, and strategically aligned learning resources. […]

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PaceZero BSI 2025

PaceZero is hiring an intern to research how to integrate Artificial Intelligence (“AI”) into operations. Areas of interest will focus on, but are not limited to, leveraging technology to enhance sourcing prospective borrowers. More specifically, the intern will research the capabilities and functionality of various Ai programs such as ChatGPT, Perplexity, and tl:dv, among others. […]

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Natural Speech Edit Classifier

Trebble.fm is building the next generation of AI-powered audio and video editing software for everyday creators. The primary objective of this project is to implement a practical classifier system that can determine whether a section of an edited audio file sounds natural after text-based editing operations. Our approach will be focused on building a production-ready […]

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Quantitative Investing Intern

Vestcor, Atlantic Canada’s largest in-house investment manager with $21 billion in assets, specializes in quantitative investing and risk management to optimize portfolio performance. One of the key challenges Vestcor faces is the continuous need for innovation and improvement in security selection and risk modeling. As financial markets become increasingly complex and data-driven, Vestcor must refine […]

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Automated Digital Asset Wallet Tracking & Visualization

This project will create a dashboard for the automatic tracking of digital asset investments. By using data directly from the blockchain, this dashboard will be more accurate and comprehensive than existing solutions. Further, much of this work is currently being done manually and using spreadsheets by the partner, with this dashboard the expect to 3x […]

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Venn 2025 Summer Intern

At Venn, we’re not just building a product—we’re revolutionizing how Canadian businesses operate. As a rapidly growing fintech startup serving over 3,000 Canadian businesses, our ambition is to streamline our internal processes as we scale towards supporting over 10,000 companies. To achieve this, we’re looking for a motivated individual to take ownership of high-impact projects […]

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Scaling Tabular-Timeseries Foundation Models for Large-Scale Financial Data

TD Bank, as a leader in financial services, relies on predictive modeling to improve customer insights, risk management, and fraud detection. However, current machine learning approaches struggle to scale effectively across TD’s vast transactional datasets, leading to challenges in handling heterogeneous financial products, long-term forecasting, and multi-task learning. This project aims to address these challenges […]

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Agent Learning in SLMs

The partner organization Layer 6 AI is a leading artificial intelligence research lab and a part of TD Bank Group. It focuses on advancing machine learning and deep learning technologies to drive innovation across various sectors including financial services. The company specializes in AI-driven solutions such as predictive modeling, recommendation systems, and natural language processing. […]

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Enhancing the Accuracy and Interpretability of Canadian Macro-Financial Tail Risk Forecasts via Multi-Quantile Deep Learning with Feature Engineering to Monitor Systemic Risks at the Bank of Canada

Crises risks are notoriously hard to quantify. Yet, when systemic crises materialize, for instance the Global Financial Crisis (GFC), the cost for the economy and the society can be huge, with protracted recessions and financial hardships for firms and households. Thus, it is essential for public authorities to monitor and proactively address systemic risks, thereby […]

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