Data Scientist (Quebec City)

Data Scientist (Quebec City)

About The Company

The National Bank is a leading financial institution committed to delivering innovative banking solutions and exceptional customer service. With a rich history of stability and growth, the bank prides itself on fostering a culture of integrity, collaboration, and community engagement. As a prominent player in the financial sector, the National Bank continually invests in technological advancements and talent development to maintain its competitive edge. Our mission is to positively impact the lives of our clients and communities by providing tailored financial products and services that meet their evolving needs.

About The Role

As a Data Scientist within the Credit Risk Models team at the National Bank, you will serve as an expert in credit risk modeling, responsible for developing and deploying models that assess the creditworthiness of our Personal and Commercial customers. Your role involves applying rigorous statistical and financial analysis techniques to large datasets to identify key risk factors and quantify the associated credit risk for each borrower. You will be instrumental in creating models such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), ensuring they meet regulatory standards and internal risk management requirements.

In addition to model development, you will monitor model performance through backtesting and statistical validation, ensuring their ongoing accuracy and reliability. Collaboration with IT teams and business units will be vital to facilitate understanding, implementation, and compliance with regulatory guidelines like Basel and IFRS9. Your proactive approach, analytical rigor, and initiative will contribute significantly to the bank’s risk management strategies and overall financial stability.

Qualifications

- Bachelor’s degree in mathematics, statistics, econometrics,



financial engineering, or a related field
- 3-5 years of relevant experience with a Bachelor’s degree or 1-3 years with a Master’s degree
- Proficiency in statistical and probabilistic modeling techniques
- Strong programming skills, preferably in SAS or SQL
- Knowledge of Basel Accord and IFRS9 regulations is an asset
- Excellent technical writing skills, including documentation and presentation skills

Responsibilities

- Develop PD, LGD, and EAD regulatory models following a rigorous, well-documented approach
- Perform quantitative analysis of personal and business portfolios to identify risk factors
- Explain and defend developed models with internal stakeholders and regulatory authorities
- Collaborate with IT and business teams to ensure understanding and proper implementation of models
- Monitor model performance using recognized statistical measures such as backtesting
- Maintain comprehensive documentation of modeling processes and outcomes
- Stay updated on regulatory changes and incorporate relevant adjustments into models

Benefits

- Health and wellness programs with multiple options
- Flexible group insurance plans
- Generous pension plan
- Employee Share Ownership Plan
- Employee and Family Assistance Program
- Preferential banking services
- Opportunities to participate in community initiatives
- Telemedicine services and virtual health clinics
- Supportive and dynamic work environment with modern collaboration tools

Equal Prospect

The National Bank is committed to fostering an inclusive and diverse workplace. We welcome applications from all qualified candidates regardless of race, gender, age, disability, or background. We ensure our recruitment process is fully accessible, and accommodations are available upon request. Our goal is to create a barrier-free environment where everyone has the opportunity to thrive and contribute to our shared success.

📌 Data Scientist (Quebec City)
🏢 National Bank of Canada
📍 Quebec City