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RBC

Associate Director, Credit Modeling & Methodology

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 30, 2026
Posting language: English
Posted: Sep 16, 2026

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Original job description

Job Description

What is the opportunity?

The Associate Director, Credit Modeling & Methodology will support the model development team responsible for developing credit risk models and analytics tools used in the measurement of Expected Credit Loss, Provision for Credit Losses, Allowance for Loan and Lease Losses as well as for Stress Testing purposes.

This role will assist the Director, Credit Modeling & Methodology in various model development initiatives spanning from data engineering (in order to construct the modeling data), development of modeling methodologies, model testing and implementation.

We are looking for a bright, committed, high-performing individual to become a key contributor on the model development team. The preferred candidate should have a quantitative background and will be a key contributor in model development processes. We are a team that prides itself in high quality work with significant impact across the bank and continuous interaction with other groups, senior management and regulators. Given the nature of our work, the opportunity to learn, grow and expand your network is significant.

What will you do?

Develop, document, and implement Wholesale Credit Risk Models for use in IFRS-9, CECL, CCAR, Stress Testing (EWST, MST).
Identify, communicate and troubleshoot modelling challenges, including related to data quality.
Deliver sound quantitative methodologies and the results from employing them.
Be agile in response to evolving model user requirements and competing priorities.
Conduct model development work with strong attention to detail; validate material model assumptions and limitations and identify potential errors before they arise.
Present quantitative materials, concisely and accurately, internally as well as to key stakeholders.
Support Business Review, Model Validation, User-Acceptance Testing, Internal Audit and External Audit or Regulatory Review of Credit Risk Models.
Develop an organizational awareness, understanding process flows of data through model development through model users and impact to key business stakeholders.
Provide comprehensive documentation as a key component of the work product.

What do you need to succeed?

Must-have

Master’s degree in quantitative field of study or equivalent
Strong predictive modeling background and analytical problem-solving skills
Strong communication skills
Effective in translating technical expertise into business language that drive insights
Hands-on experience in SAS, Python or similar tools; expertise with MS Office Suite.

Nice-to-have

Experience in credit risk modelling; familiar with financial credit products and relevant regulatory guidelines (e.g. IFRS9)
Expertise in navigating an Enterprise Data Warehouse, experience with Hadoop environments, R or other tools

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
Leaders who support your development through training and coaching
Work with a dynamic, collaborative team with ability to make a difference

Job Skills

Business Data Analysis, Communication, Credit Analysis, Database Queries, Data Visualization, Decision Making, Long Term Planning, Operational Delivery, Quantitative Methods, Risk Management

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W: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:

2026-09-16

Application Deadline:

2026-09-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

Develop, document, and implement wholesale credit risk models for regulatory and stress testing purposes. Collaborate with cross-functional teams to ensure data quality and provide quantitative insights to senior management and regulators.

Requirements

Requires a Master’s degree in a quantitative field and a strong background in predictive modeling. Proficiency in SAS, Python, or similar tools is essential, along with excellent communication skills.

Skills

Credit risk modeling
SAS
Python
Data engineering
Quantitative analysis
IFRS-9
CECL
CCAR
Stress testing
Predictive modeling
Analytical problem-solving
Communication
MS Office Suite
Enterprise data warehouse
Hadoop
R

Benefits

Total Rewards Program
Training and coaching

Visa sponsorship

Not detected in the job text

Keywords

Credit Modeling
Methodology
Expected Credit Loss
Provision for Credit Losses
Stress Testing
Data Engineering
IFRS-9
CECL
CCAR
Wholesale Credit Risk
Quantitative Methods
SAS
Python
Hadoop
Enterprise Data Warehouse
Risk Management
Business Data Analysis
Credit Analysis
Database Queries
Data Visualization
Decision Making
Operational Delivery
Regulatory Review
Model Validation
Internal Audit
External Audit
Financial Credit Products
Predictive Modeling
Quantitative Background
Banking

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