Rbc
Finance
Manager,LossForecasting
Neural analysis suggests this role is
optimal for Mid candidates.
“Manager, Loss Forecasting at Rbc. Skills: Loss Forecasting, Credit Risk Analysis, Model Development, Data Analysis. Assist in developing, monitoring, and maintaining Stage 3 PCL loss forecasting models. Work with measurement, reporting, and modeling team members to understand assumptions in credit provisioning analyze results and help identify issues”
What You'll Achieve.
support regulatory compliance and business objectives; deliver valued analysis; support forecast alignment
Industry & Context.
analytical and problem-solving skills
What They're Looking For.
Must Have
Minimum 2–3 years of experience in credit risk analysis, loss forecasting, or related analytical roles, Bachelor's degree in Finance, Statistics, Mathematics, or a related field, analytical and statistical skills, with experience analyzing financial data and supporting model development, Proficiency in Python, R, and Excel for data analysis and model support, Solid understanding of credit risk and financial processes in Retail banking, communication skills with the ability to explain analytical findings clearly, Quick learner with analytical and problem-solving skills
Nice to Have
Familiarity with IFRS9 and credit loss forecasting methodologies, Experience with data visualization tools such as Power BI or Tableau
What You'll Do.
and maintaining Stage 3 PCL loss forecasting models
Work with measurement
and modeling team members to understand assumptions in credit provisioning analyze results and help identify issues
Analyze datasets to identify trends
and key drivers of credit losses
Prepare reports and presentations summarizing key findings for review by senior leadership
Monitor model performance and support regular audits and improvement initiatives
Support documentation and ongoing maintenance of forecasting models
How You'll Work.
Team & Collaboration
Work with measurement, reporting, and modeling team members; Support communication with functional and business partners; Collaborate with risk, credit, analytics, and finance teams; working together to deliver trusted advice
Communication Scope
ability to explain analytical findings clearly
Full Job Description
**_Job Description_** **What is the opportunity?** The Loss Forecasting team within Portfolio Management and Credit Strategy (PMCS) at RBC is responsible for Stage 3 Provision for Credit Losses (PCL) forecasting for the Canadian retail portfolios. The team provides Senior Management in Risk Management, Finance, Business Units, and Investor Relations with expert analysis and guidance on the Bank’s PCL. As a Manager, you will work closely with model development teams and credit risk experts to understand drivers of changes in PCL and support the Loss Forecasting team in delivering valued analysis. **What will you do?** * Assist in developing, monitoring, and maintaining Stage 3 PCL loss forecasting models to support regulatory compliance and business objectives. * Work with measurement, reporting, and modeling team members to understand assumptions in credit provisioning calculations; analyze results and help identify issues. * Support communication with functional and business partners to identify and escalate issues affecting credit provisioning. * Analyze datasets to identify trends, risk indicators, and key drivers of credit losses. * Collaborate with risk, credit, analytics, and finance teams to support forecast alignment. * Prepare reports and presentations summarizing key findings for review by senior leadership. * Monitor model performance and support regular audits and improvement initiatives. * Support documentation and ongoing maintenance of forecasting models. **What do you need to succeed?** _Must-have_ * Minimum 2–3 years of experience in credit risk analysis, loss forecasting, or related analytical roles. Bachelor's degree in Finance, Statistics, Mathematics, or a related field. * Strong analytical and statistical skills, with experience analyzing financial data and supporting model development. * Proficiency in Python, R, and Excel for data analysis and model support. * Solid understanding of credit risk and financial processes in Retail banking. * Str
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