Business Development Representative

I will be working as a Business Development Representative at Neighbourhood Holdings. My main priority will be to develop broker relationships for the company and bring in more brokers to work with our company This entails communicating with brokers, market research, analytics for lead generation and establishing these relations.

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Choix de portefeuille, coûts de transaction et apprentissage par renforcement

Les fonds communs de placement et les régimes de retraite gèrent en grande partie l’épargne des ménages canadiens en vue de leur retraite. Pour ce faire, ils construisent des portefeuilles diversifiés dans un grand nombre d’actifs. Les méthodes numériques à leur disposition pour allouer optimalement les fonds qui leur sont confiés posent des défis majeurs […]

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Student Intern

Liberty Mutual Canada is seeking an intern to consult and lead a project to assess current state of EDII and help identify best practices and available resources to improve EDII efforts. This position will report to the head of the Liberty Mutual Canada D&I Committee and SVP, Chief Counsel and Chief Compliance Officer and work […]

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A Deep Risk-Sensitive Reinforcement Learning Framework for Portfolio Management

In Finance, the use of Automated Trading Systems (ATS) on markets is growing every year and the trades generated by an algorithm now account for the majority of orders that arrive at stock exchanges. Historically, these systems were based on advanced statistical methods and signal processing able to extract trading signals from financial data. However, […]

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Dynamic Deep Generative Graph Models for Financial Forecasting

Borealis AI has access to a huge amount of financial data related to the stock market and is interested in leveraging recent developments in machine learning to better understand this data. Some potential questions emerging from this data are: (1) Given the closing price of a stock in the recent months, can we predict the […]

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Maple Leaf Angels – Business Strategy Internship

This project will provide MLA with the operational support necessary to continue growing the brand. The project will help to attract the right entrepreneurs/start-ups and angel investors to join the organization. Through investments, MLA members will have the opportunity to mentor and guide entrepreneurs in Canada as they navigate the challenges and opportunities surrounding the […]

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Equity Research Intern

The intern will work directly with Analysts across sectors and gain in-depth knowledge of the financial markets in the US and Canada. Some of the key responsibilities include creating detailed financial models on both existing and new coverage models and supporting the small cap equity research and product teams with client requests. Canalyst is a […]

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Marketing Plan Research Assistance

This research project gives business students an opportunity to get in touch with the real world and apply the knowledge they studied to help solve business problems. Students need to integrate their knowledge in Marketing, Finance and Information Technologies to help the organizations to understand their customers, recommend the IT-driven solutions to tackle the customer […]

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PredictNow.ai Business Internship

I will be helping PredictNow.ai grow thier business by working in a marketing/sales role. As recently formed startup PredictNow.ai is still in the process of establishing thier digital footprint from a marketing perpective, which I will help grow. Additionally I will help answer customer questions and help communicate the technical end of the product to […]

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Quo Vadis? Ontologies for Geospatial Question Answering and Consumer Behaviour

A geospatial query is a question where the concept of location is necessary for formulating the answer. Furthermore, we are not simply interested in spatial relationships, but also with the ways in which people can possibly move through space given the goals that they want to achieve. We therefore want to predict the behaviour of […]

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Apprentissage d’une pondération dynamique des constituants d’une méthode d’ensemble

L’utilisation de méthodes d’ensemble, dont l’usage est très répandu, permet souvent d’obtenir des résultats de haute précision mais sont beaucoup plus difficilement interprétable que les modèles d’apprentissage automatique traditionnel (arbres, régressions logistique/linéaire, ect). De plus, les méthodes d’ensemble sont généralement appliquées de façon relativement naïve, avec des méthodes d’agrégations des estimateurs telle que la moyenne […]

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State space models in credit and operational risk management

This project targets development of applied methods and practical solutions to risk management problems where only partial observation of a system is possible. Such settings are commonplace in financial and other context but can be challenging to address due to a limited number of production-grade ready-to-use solutions. The scientific component of the project employs approaches […]

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