SEEING BEYOND NUMBERS™

At Laurentian Bank, we believe we can change banking for the better. Founded in Montreal in 1846, Laurentian Bank helps families, businesses and communities thrive. Today, we have over 2,800 employees working together as One Team, to provide a broad range of financial services and advice-based solutions for customers across Canada and the United States. We drive results by placing our customers first, making the better choice, acting courageously, and believing everyone belongs.
This role sits within Laurentian Bank.
As part of the Quantification Systems Support team, you will contribute to the implementation of risk models within our internal calculators, automate the production of risk reports, and continuously improve analytical tools. This role is ideal for someone who enjoys solving complex problems using SAS programming and is motivated by process optimization.

QUALIFICATIONS

• Strong proficiency in SQL or SAS (Base, Macro or EG).
• Demonstrated ability to solve complex problems independently and methodically.
• Strong interest in risk models, analytical systems, and regulated environments.
• Experience or interest in source code management tools (Git Hub, etc.).
• Team spirit, attention to detail, and initiative.
• University degree in data science and business analytics, mathematics, physics, statistics, actuarial science, engineering, econometrics, finance, or any other related field.
• A minimum of 3 to 5 years of relevant experience in data science or risk management.
• Professional working proficiency in French and English languages required as position involves frequent written and oral communication on complex matters with internal and external parties in both languages.

• Implement risk models into internal calculators, ensuring compliance with regulatory requirements and seamless integration into existing systems.
• Automate risk report production by developing robust and scalable SAS scripts.
• Optimize analytical processes by identifying improvement opportunities and proposing innovative solutions.
• Promote best practices in source code management (e.g., Git), ensuring traceability, collaboration, and development quality.
• Collaborate with modeling, IT, and data governance teams to ensure consistency and reliability of deliverables.
• Document developed solutions and support internal user training.