(1) The Desjardins Quantitative Strategies department manages a set of internally developed systematic investment strategies. There are two main products; global equity strategies (developed and emerging countries), as well as alternative strategies using futures on global stock indices, resources, interest rates and currencies. The team owns a proprietary technology platform that has been developed over […]

Mesurer et divulguer sur la durabilité des activités est une tendance croissante chez les grandes entreprises, qui cherchent à obtenir le soutien des investisseurs en faisant preuve de transparence et d’engagement envers les sphères environnementale, sociale et de gouvernance (ESG). En fait, les risques associés à ces dimensions peuvent se matérialiser en pénalités financières. Les […]

Scotiabank’s Global AI & ML (GAIML) – Intelligent Document Processing (IDP) Team has built AIDOX, an AI-powered document understanding platform that processes thousands of emails and documents daily. The current system uses fine-tuned language models for tasks like document classification, OCR, key data extraction, and entity resolution. However, the increasing complexity of financial documents requires […]

The objective of the proposed research is to design and implement an innovative IBI scheme capable of minimizing basis risk. Forage insurance will be used as an example to empirically examine the effective implementation of the IBI, through establishing an adequate relationship between the weather index and forage yield. Therefore, a second objective of the […]

This project focuses on improving transformer-based models for quantitative finance (QFin) by addressing key limitations such as inadequate long-term memory, lack of sentiment analysis, and difficulties in handling multimodal data. While transformers have achieved breakthroughs in fields like protein folding and natural language processing, their application in finance still faces challenges. Existing financial transformers struggle […]

Community Futures Ventures, located in Yorkton, Saskatchewan, recently hired a new General Manager and moved to a new, more visible, location. These changes offer Community Futures Ventures (CFV) an opportunity to promote their services more widely within Yorkton and east central Saskatchewan. CFV’s greatest challenge is exposure and awareness within the community. While Community Futures […]

The purpose of this 20-week study is two-fold. First, assess two comprehensive self-care programs on employee and organizational outcomes. Second, explore the self-care phenomenon. A single financial services organization will participate in the study. Financial consultants will be randomly assigned by office location into three groups. Group #1 will attend a comprehensive self-care program called […]

FriedmannAI is developing an intuitive, AI-powered platform designed to provide personalized, unbiased, and affordable financial advice to all Canadians. By leveraging advanced artificial intelligence technologies, this platform will help Canadians better manage their finances, improve their financial literacy, and achieve their personal financial goals without the sales pressure common in traditional financial services. Successful completion […]

This research project focuses on using advanced machine learning techniques to better predict stock prices, specifically targeting stocks from the S&P 500. By combining powerful deep learning methods—such as LSTM and GRU networks—with adaptive attention mechanisms inspired by Transformer models, the project aims to create forecasting systems that can dynamically adapt to changing market conditions, […]

This project uses machine learning algorithms to better understand back movement and low back pain. We apply supervised learning time series algorithms to data collected from Backtracks’ wearable de-vice — which consists of a malleable think curve that reads data collected from the participants’ spine movements. At each time step, such movements are represented as […]

This study proposes to evaluate the quality of movement in patients with low back pain using a novel device. We are going to measure and compare the movement of people with back pain to that of healthy people. In addition, we plan on correlating the psychological factors associated with low back pain to tissue pathology. […]

In the age of artificial intelligence, machines learn from vast amounts of data to make predictions and decisions. But what happens when we need them to “unlearn” something—whether to protect privacy, correct biases, or comply with regulations? Existing approaches to machine unlearning can be effective at removing specific data from a model’s memory, but they […]