Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling
On-site · Toronto, Ontario, Canada
Job Summary
Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling at RBC in Toronto. Develop and support machine learning, credit scoring, and Stage 3 PCL loss forecasting models; extract, clean, validate, and analyze data from multiple sources to identify credit loss drivers and trends; run monthly/quarterly reporting and drive continuous improvement; prepare comprehensive documentation, source code, and model monitoring reports; present key findings to senior leadership and collaborate with the analytics team to deliver trusted risk insights for Commercial & Wholesale Credit Risk.
Required Qualifications
- Undergraduate degree in Mathematics, Statistics, Computer Science, Finance or other quantitative field
- Master’s degree in quantitative discipline preferred
- Strong technical and automation skills such as SQL, Python
- Expert in MS Excel and PowerPoint
- Strong analytical and statistical skills with experience analyzing financial data
- Solid understanding of credit risk and financial processes
- Strong communication skills to explain analytical findings clearly
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