Manager, Credit Provisioning Operations

RBC; Toronto; On-site; CAD 95,000 - 120,000; Full time

Job summary

RBC in Toronto seeks a Manager, Credit Provisioning Operations to oversee live production and infrastructure for the Credit Measurement System (CMS). You will ensure timely IFRS 9 and CECL runs and collaborate with model builders, validators and auditors on data and methodology.

This role emphasizes analytical skills, modeling, testing and reporting, with opportunities to influence risk practices, participate in regulatory interactions, and advance within a dynamic risk management group.

Qualifications

• Undergraduate, and preferably graduate, degree in quantitative discipline such as physics, mathematics, statistics, engineering, economics, econometrics, actuarial science, finance and/or relevant professional qualifications, with focus on quantitative statistical and analytical skills
• 2+ years of relevant business work experience in quant groups (risk, front office, etc.) in the financial industry
• Prior work experience in credit risk modeling, stress testing, credit portfolio analysis, and credit provisioning
• Proficiency in Python for data analysis, model development, and automation
• 1+ years of programming experience with tools such as Excel/VBA
• Knowledge of database structure and management (SQL, SAS, etc.)
• Ability to communicate complex concepts to a non-technical audience
• Strong conceptual, analytical, and problem-solving skills. Ability to tailor analysis to required level of precision

Responsibilities

• Assist in the execution and maintenance of time-sensitive IFRS 9 and CECL live production runs in CMS
• Support requests from model builders, validators and auditors regarding data and methodology aspects associated with the credit loss models
• Develop and/or implement testing and reporting methodologies, including model testing, calibration and monitoring performance
• Assist in preparation of technical whitepapers and presentations, as well as other documents pertaining to implemented models, technologies, and/or analyses
• Assist in performing scenario/change impact analyses for communication to Senior Management, with focus on business and risk implications
• Facilitate integration and automation of modeling and reporting changes in CMS and their promotion to BAU production processes
• Role focus: analytical and statistical technical tools used for credit risk, data and change management, methodology development & implementation
• Research and keep abreast on credit methodologies and data analytics, to ensure RBC is a leading institution on best practices across the industry

Skills

Python programming

SQL knowledge

Analytical thinking

Communication skills

Financial risk understanding

Education

Undergraduate degree in quantitative discipline

Graduate degree preferred

Tools

Excel/VBA

SAS

Job description

Job Description

What is the opportunity?

The Manager, Credit Provisioning Operations, will support the execution of live production and infrastructure maintenance for our Credit Measurement System (CMS), which employs a collection of models used to estimate and report forward-looking expected credit losses (ECL), primarily for loans in RBC’s banking book portfolios.

You will focus on models for Wholesale and Retail products, with opportunity to expand and grow through time in other related areas. The main responsibilities include understanding model behavior, analyzing model input/output, preparing reports and supporting infrastructure maintenance and system readiness. Our team prides itself for high quality work and professional conduct while maintaining a friendly and informal work environment, with opportunity for interested individuals to expand and grow in other related areas.

The team has significant impact across the bank and continuous interactions with other groups, including Senior Management and regulators.

What Will You Do?

• Assist in the execution and maintenance of time-sensitive IFRS 9 and CECL live production runs in CMS.

• Support requests from model builders, validators and auditors regarding data and methodology aspects associated with the credit loss models

• Develop and/or implement testing and reporting methodologies, including model testing, calibration and monitoring performance

• Assist in preparation of technical whitepapers and presentations, as well as other documents pertaining to implemented models, technologies, and/or analyses

• Assist in performing scenario/change impact analyses for communication to Senior Management, with focus on business and risk implications

• Facilitate integration and automation of modeling and reporting changes in CMS and their promotion to BAU production processes

• Role focus: analytical and statistical technical tools used for credit risk, data and change management, methodology development & implementation

• Research and keep abreast on credit methodologies and data analytics, to ensure RBC is a leading institution on best practices across the industry

What Do You Need to Succeed?

Must-Have:

• Undergraduate, and preferably graduate, degree in quantitative discipline such as physics, mathematics, statistics, engineering, economics, econometrics, actuarial science, finance and/or relevant professional qualifications, with focus on quantitative statistical and analytical skills

• 2+ years of relevant business work experience in quant groups (risk, front office, etc.) in the financial industry

• Prior work experience in credit risk modeling, stress testing, credit portfolio analysis, and credit provisioning

• Proficiency in Python for data analysis, model development, and automation

• 1+ years of programming experience with tools such as Excel/VBA

• Knowledge of database structure and management (SQL, SAS, etc.)

• Ability to communicate complex concepts to a non-technical audience

• Strong conceptual, analytical, and problem-solving skills. Ability to tailor analysis to required level of precision

Nice-to-Have:

• Professional certifications (FRM, CFA, or PRM).

• Experience with cloud-based analytics platforms (e.g., AWS, Azure) or machine learning techniques.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together todeliver 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, competitivecompensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities.

• Opportunities to do challenging work

• Opportunities to take on progressively greater accountabilities

• Ability to make a difference and last impact.

Job Skills

Client Counseling, Communication, Credit Risks, Critical Thinking, Financial Instruments, Group Problem Solving, Investment Risk Management, Market Risk, Python (Programming Language), Quantitative Methods, Risk Management, SAS SQL, Structured Query Language (SQL)

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:

2026-08-12

Application Deadline:

2026-08-26

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.