Job Description

What is the opportunity?
As an Associate Director, Enterprise Model Risk Management EMRM within our Group Risk Management (GRM) team, you will execute and document validations of the Bank's enterprise-wide credit risk rating systems and methodologies, with focus on Wholesale and Retail credit risk systems, including acquisition & account management models, as well as Wholesale, Retail, and Margin Lending AIRB parameters (Probability of Default ("PD"), Loss given Default ("LGD") and Exposure at Default ("EAD")) used in both regulatory and economic capital.
You will develop and implement tools and methodologies required to underpin credit risk systems and parameters validation, and provide insightful robust analyses of credit risk systems, acquisition & account management models and risk quantification validations.
What will you do?

• Perform ongoing Retail and Wholesale credit risk systems including acquisition & account management models and parameters validations and provide insightful analysis of validation results
• Execute and document appropriate quantitative and qualitative tests, review of the logic and conceptual soundness of credit risk rating systems/ acquisition & account management models/parameters and their inputs, accuracy, sensitivity, scenario and back testing, benchmarking and analysis of the use of the rating system and parameters
• Investigate and evaluate data filtering and data quality relating to credit risk system validation.
• Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate
• Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders
• Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards

What do you need to succeed?
Must-have

• Model development or model validation experience, preferably related to credit risk models used within the financial services industry. A strong understanding of credit risk modeling theories, principles and industry best practices.
• Strong conceptual, analytical, detailed oriented and problem-solving skills
• Strong computer skills - Python, SAS, SQL and Excel required; similar open-source programming languages (i.e. R, or Scala, PySpark) and code sharing solutions (Github) are essential
• Solid understand various data system structures/processes and how they affect the inputs and outputs of credit risk data. Comfortable working with large data sets
• Experience with artificial intelligence / machine learning modeling techniques as well as logistic regression modeling techniques; experience with Python modules used in training deep learning models (e.g. torch).
• Effective presentation and communication skills, with strong written capabilities essential. Strong consensus-building skills. Works well in teams
• Execute with urgency while maintaining quality and efficiency; adapt to shifting priorities, coupled with a sense of urgency
• Post graduate degree in a quantitative field of study (i.e. PhD, Master of Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field).

Nice-to-have

• Ability to work in Unix, Teradata Data Warehouse and/or Hive Data Lake environments
• Experience with Hadoop, Spark and similar data storage and processing tools. Experience with deep learning methodologies. Familiar with Tableau or other data visualization tools
• Familiar with object-oriented programming concepts
• Exposure to credit risk system design and OSFI's CAR guideline is a definite asset
• A strong understanding of RBC's policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC is an asset.

What's in it for you?

• We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
• A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
• Leaders who support your development through coaching and managing opportunities

Job Skills Client Counseling, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Investment Risk Management, Long Term Planning, Quantitative Methods, Risk Management
Additional Job Details
Address: ROYAL BANK PLAZA, 200 BAY ST:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: GROUP RISK MANAGEMENT
Job Type: Regular
Pay Type: Salaried
Posted Date: 2025-09-18
Application Deadline: 2025-10-04
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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