Analyst Intern - Credit Risk Analytics

As an Analyst (Intern) in the Credit Risk Analytics team at National Bank, you will develop valuable risk management skills by working on credit risk modeling and risk reporting in areas like IFRS-9, stress testing, and capital. You will collaborate closely with the team and perform various risk analysis tasks to support the Bank's risk function. With your programming, data analysis, problem-solving, and communication skills, you will gain hands-on experience and a deeper understanding of risk management. This is a full-time internship.

Your role:

• Contribute to risk analytics and reporting, including the preparation of analysis results and presentations for senior management.
• Participate in the development, implementation and back testing of credit risk models, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) and other models.
• Support the monthly and quarterly risk production activities, quantify risk and capital, and identify key risk drivers.
• Create and maintain documents for models and risk processes following the internal and regulatory requirements.
• Complete risk-relevant tasks assigned by the supervisor and respond to questions and ad-hoc requests from the senior management in a precise and efficient manner.

Your team

As part of the Credit Risk Analytics sector, you’ll be on a team of 25 of colleagues. Our team stands out for expertise in model development, model implementation and risk reporting in IFRS-9, stress testing and capital areas. As some processes are part of the Bank’s month-end or quarter-end reporting to the public or to the regulators, we may work under tight deadline and pressure sometimes. We offer a wide range of ongoing learning opportunities for your development, including coaching, hands-on learning, and through the collaborating with colleagues who have varied expertise and profiles such as risk programming, in-depth data analytics, model development, and presentation to senior management.

Prerequisites

• In an undergraduate or graduate program in Finance, Financial Engineering, Statistics, Economics, Mathematics, Computer Science or other relevant fields.
• Completion or progression in CFA, FRM and/or SAS certification would be an asset.
• Previous work/co-op experience in banks would be an asset.
• Solid programming skills (i.e. SAS, SQL, Python, VBA, R, Matlab, etc.).
• Outstanding analytical skills to identify the causes of risk changes.
• Business and/or technical writing with clear and concise written communication skills.
• Strong attention to details and exceptional critical thinking skill.
• Strong desire to learn along with professional drive.

English