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National Bank of Canada seeks a Senior Data Scientist to lead IFRS-9 reporting, risk analytics, and data management within the IFRS-9 & Credit Risk Analytics team. You will drive ECL processes, support related risk functions, and mentor junior staff.
You will collaborate with Economics, Finance, IT, and Audit, validating data and governance while exploring AI-enabled improvements. Strong mathematical, data skills, and regulatory knowledge are essential.
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data management. You will also support closely related risk functions, including RWA, Economic Capital, risk-based pricing and stress testing. With strong quantitative and analytical skills, rich data experience, and knowledge of IFRS-9 and regulatory requirements, you will help strengthen NBC’s credit risk management by building efficient, robust risk processes and delivering insightful analysis to senior management.
As part of the IFRS-9 & Credit Risk Analytics sector, you will join a team of 25 colleagues and report to the Senior Director. Our team stands out for its expertise in model development, model implementation, and risk reporting across IFRS-9, stress testing, and capital. As some processes support the Bank’s month-end and quarter-end public and regulatory reporting, the team occasionally works under tight deadlines and pressure. We offer a broad range of development opportunities, including coaching, hands‑on learning, training courses, and collaboration with colleagues who bring diverse expertise in data analytics, model development, risk programming, and presentations to senior management.
Languages: English
Required skills: Banking, Business Acumen, Collaboration, Communication, Data Visualization, Data‑Driven Decision‑Making, Initiative, Organization Skills, Problem Solving, Python, Rigor, Self‑Sufficiency, Storytelling, Teamwork