Associate Director, Credit Modeling & Methodology

rbc

Toronto

On-site

CAD 120,000 - 160,000

Full time

44 hours ago
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Benefits offered by this job

Total Rewards Program
Training & Coaching
Collaborative Team

Job summary

RBC is seeking an Associate Director of Credit Modeling & Methodology in Toronto to lead development of credit risk models and analytics tools used for ECL, PCL, ALLL and stress testing. You will collaborate across groups, validate assumptions, and document methodologies for internal and regulatory reviews.

The role requires a strong quantitative background, experience with SAS and Python, and excellent communication to translate complex results into business insights.

Qualifications

  • Master's degree in a quantitative field or equivalent experience.
  • Strong predictive modeling background with analytical problem-solving.
  • Effective in translating technical work to business insight.

Responsibilities

  • Develop, document, and implement Wholesale Credit Risk Models for IFRS-9, CECL, CCAR and stress testing.
  • Identify and troubleshoot modelling challenges and data quality issues.
  • Deliver sound quantitative methodologies and results to stakeholders.
  • Provide documentation and support for model validation and audits.

Skills

Predictive Modeling
Communication Skills
Data Analysis
Stakeholder Engagement

Education

Master's degree in quantitative field

Tools

SAS
Python
MS Office

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 QueriesData 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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