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Quantitative Risk Model Developer

1 week ago


Toronto, Ontario, Canada Scotiabank Full time

About the Role

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In this role, you will be responsible for developing methodologies to accurately measure ALM risk in the banking book.

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You will work closely with the team to develop high-profile models that receive significant attention from senior management and provide key inputs for managing interest rate risk.

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Key Responsibilities

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1. Develop robust ALM risk models for structural interest rate risk (SIRR) in the banking book, customer behaviour, macroeconomic factors, and internal capital models.

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2. Assist team members with various ad-hoc analyses, model development, documentation, reporting, and preparation of reports.

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3. Develop new models and enhance existing ones, typically in Python, and prepare model documentation and implementation.

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4. Execute model runs on a regular basis for reporting and perform corresponding analyses, following documented protocols.

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Requirements

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1. Solid quantitative background and problem-solving skills with a keen interest in Finance, Economics, Derivatives or Retail Products, and Regulations.

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2. Advanced degree in a mathematics, economics, or scientific discipline, such as Mathematics, Finance, Statistics, Physics, Engineering, Biology, Economics, etc.

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3. Knowledge of asset liability management and modelling experience in risk management, e.g., experience of structural interest rate risk modelling.

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4. Python programming is essential; experience in other Object-Oriented programming is a bonus.

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5. Effective communication and collaboration skills, with the ability to summarize complex ideas in simple terms.