Statistical machine learning methods applied to ATB data for debt collection optimization, small business lending decision modelling, and open banking initiatives

The intern will research new modelling technology to determine if the new models can make a significant improvement in servicing customers for loan approvals, debt collections, and open banking. The intern will work closely with the partner to understand the banking process and opportunity. The partner organization will receive several benefits from working with the […]

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Dynamic Credit Scoring

Banks use a myriad of methodologies to inform their officers on credit extension decisions. One of the most employed approach is to summarize borrower creditworthiness by credit scores, which in turn depend on loan default probabilities. The probability of default depends both on borrower characteristic and on the overall state of the economy. The goal […]

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Forecasting Ability of Non-consumer Scorecards and their Ability to Predict Probability of Default

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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Drivers of Time to Resolution, Application of LASSO Regression and Random Forest

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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Slice Finder: Application to Stress Testing

The project aims to use state-of-the-art machine learning techniques to perform model validation. In particular, the intern will validate outcomes from risk assessment models for loan portfolios. The results will be employed to further the efficiency of ATB’s internal stress testing models. The benefit for ATB financial will be the possibility to detect subsamples for […]

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An Alberta-based VAR Structural Model

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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Regression Models for Credit Card Strategies

ATB Financial is a large Alberta based full service financial institution. The Card Services department was formed 5 years ago and is growing rapidly. The Card Strategy team within Card Services is developing models and processes to manage marketing campaigns, credit risk management, collections and fraud effectively. The intern will support the team by providing […]

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Cost-benefit Analysis of Logistic Models Implemented in Operational Processes

  ATB Financial is a large Alberta based full service financial institution. The Card Services department was formed 6 years ago and is growing rapidly. The Card Strategy team within Card Services is developing models and processes to effectively manage marketing campaigns, collections and fraud. The primary objective of this program is a detailed cost/benefit […]

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Default Rates and Recovery rate on Commercial loans in the Alberta Business Environment

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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Default Rates and Recovery rates on the portfolio of loans for the sectors Retail Financial Service and Independent Business and Agriculture Financial Services (IB&Ag) in the Alberta Business Environment, an Application of the Logistic Lasso Regression

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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Credit Portfolio Management and Stress Testing Models Research & Development

Consistent with industry norms, ATB Financial conducts both mandatory and discretionary stress tests of the whole institution and of its credit portfolio. This project aims to contribute to the refinement of the in-house expertise on methodologies employed to measure credits risk and the overall level of risk of the institution. These activities normally requires management […]

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