Centre for Operations Excellence Summer Internship Cluster 2012

The Summer Internship Cluster project organized through the Centre for Operations Excellence at the Sauder School of Business at UBC is a cluster of nine Operations Research sub-projects done for a number of different clients. These projects form the centerpiece of the UBC Master of Management in Operations Research and are the key link in […]

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Designing ‘Zero credit touch’ (ZCT) pre-approved credit underwriting program for retail customers

ICICI Bank has developed various ‘Zero credit touch’ (ZCT) strategies where without any credit intervention and additional information taken from customers, credit facilities can be provided. But there are several challenges in the expansion of ZCT strategies, namely, (i) current credit models which are a combination of business rules, scorecards and machine learning models, do […]

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Victoria Green Economy

The proposed research is a collaboration between Vancity, the City of Victoria, and the University of Victoria to bring together the necessary information (financial, regulatory, and knowledge, respectively) to build a plan that will initiate Victoria’s Green Economy. Interns will be part of distinct interviewing panels that will research the needs, benefits, and obstacles of […]

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Interpretable Machine Learning for Predictive Analytics in Employee Benefits Insurance

In recent years, many machine learning methods have been developed for predictive analytics and automated decision making. However, the lack of explanation resulted in both practical and ethical issues. In this project, we will employ and advance interpretable machine learning methods for various predictive analytics tasks in employee benefit insurance. The proposed methods can be […]

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Recommending Benefits Utilization to Promote a Healthy Lifestyle

Users on the League platform have access to a number of health and wellness benefits including massage, physiotherapy, personal trainers and a variety of other programs; however, not all of them fully utilize them to maximize their wellbeing. Utilizing the health and program utilization data we want to develop robust personalized predictions that will suggest […]

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Scalable Fraud Detection Methods for Micro-donation Processing Platforms

The goal of this project is to investigate fraud detection methods for micro-donation processing platforms. Fraud detection is a popular topic in both industry and academia, but usually in the context of payment processing. Through this research we aim to develop a practical, scalable and robust fraud detection system for the specific use-case of micro-donation […]

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Co-operators – Comprendre les enjeux des communautés

Co-operators est une coopérative canadienne, chef de file de l’assurance multiproduit et des services financiers. Co-operators cherche à explorer de nouveaux modèles d’affaires pour mieux servir sa clientèle et réussir sa mission (la sécurité financière des canadiens et canadiennes) et cela nécessite des choix stratégiques, surtout au niveau des communautés suivantes : immigrants, peuples autochtones, […]

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Intact – Analyse et extraction de caractéristiques de voitures à partir d’images

Intact Corporation financière est le plus important fournisseur d’assurances multirisques au Canada en primes annuelles. Intact vise à offrir un service de réclamations accéléré à ses clients. Au moment d’ouvrir une réclamation, Intact demande d’ores et déjà à ses clients de fournir des images du véhicule qui permettent d’identifier préalablement la condition générale du véhicule. […]

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Investor Behaviours, Canada’s investment suitability regulations, and Robo-advising

In Canada and around the world, investors hire financial advisors and dealers to manage, monitor, and guide their investment choices purchased from a financial dealer. Dealers and advisors are obligated by regulations–introduced in 2009 by the Ontario Securities Commission (OSC)–to ensure that their investment products and recommendations are “suitable”. As part of the regulations, advisors […]

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Investor Behaviours, Canada’s investment suitability regulations, and Robo-advising – Year two

In Canada and around the world, investors hire financial advisors and dealers to manage, monitor, and guide their investment choices purchased from a financial dealer. Dealers and advisors are obligated by regulations–introduced in 2009 by the Ontario Securities Commission (OSC)–to ensure that their investment products and recommendations are “suitable”. As part of the regulations, advisors […]

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Évaluation de la performance de librairies Python de prédiction permettant l’analyse de séries chronologiques de transactions et soldes bancaires afin d’alerter précocement les clients/membres Desjardins d’une possible insuffisance de fonds et éviter de charger des NSF fees

La prédiction est un domaine récent qui connaît de grandes avancées grâce à la démocratisation des connaissances via le web et l’augmentation de la puissance de calcul des ordinateurs modernes. Dans le cadre de ce projet effectué au Mouvement des Caisses Desjardins, ces techniques seront évaluées, documentées et testées vis-à-vis différents cas d’utilisation financiers (gestion […]

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Bayesian hierarchical modelling of exposure to accident benefit claims

The project will assess the financial risks to DGAG (Desjardins Groupe d’assurances generales) associated with payments of accident insurance claims. A large database is available on the losses incurred due to different aspects of insurance claims (medical costs, rehabilitation and attendant care, etc.), and this project will assist DGAG in developing exposure assessments for future […]

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