Risk Quant Model Developer – Analyst

About the role

Develop and implement quantitative risk models, particularly for credit risk, climate risk, and AI applications, and support model documentation, monitoring, validation, and change control. Collaborate with production analytics teams and other quantitative analysts to integrate and test models, improve analytics infrastructure, and keep current with industry practices. A doctorate, master's degree, or other graduate-level qualification in quantitative analysis is sought, along with prior experience building or validating models, ideally for banking. Desired qualifications include Python and R, data exploration and transformation, statistical and data science methods, and strong analytical, critical-thinking, and communication skills; professional English is required, while French is an asset.