Manager, ML Engineer

RBC; Toronto; On-site; CAD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Flexible work options

Job summary

RBC Centre in Toronto is seeking a Manager, ML Engineer to translate models into production-grade services that support model development within the Credit Modeling and Methodology Team. You will lead cross-functional collaboration across data scientists, risk modelers, and IT to deliver robust production code.

You will own the full lifecycle from development to deployment of ECL and stress testing models, build scalable ETL pipelines, and drive CI/CD automation while upholding rigorous QA and

Qualifications

• 0-2+ years related work experience in developing and/or deploying scalable coding solutions (including distributed systems and performance optimization)
• Knowledge of credit risk methodology, including capital estimation, credit risk/stress testing models, and/or direct experience with Expected Credit Loss implementations
• Experience in data manipulation on large datasets
• Credit Risk & Banking Stress Testing: Understanding of provisioning models and stress testing frameworks
• Testing & QA: UAT/PIV testing experience in regulated financial environments
• Experience in code management solutions (e.g. Git, GitHub)
• Strong interpersonal, communication, and presentation skills, with the ability to articulate and document complex technical problems and control process for a non-technical audience
• Ability to structure workload and manage multiple competing priorities.
• Conceptual thinker with a curious mind to challenge and question the status quo and the ability to make quantitative decisions on ambiguous and complex techniques which will have an impact directly on RBC's financial statements.

Responsibilities

• Develop credit risk model implementations
• Engineer and maintain scalable ETL pipelines and workflows
• Apply and advocate for coding best practices to optimize production system performance, scalability, and reliability
• Development of scalable testing solutions to increase coverage, including unit testing
• Build and maintain CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Airflow)
• Contribute to code reviews, collaborate with data scientists, credit risk modelers, and IT teams
• Maintain technical documentation and submit change control UAT/PIV evidence for validation review
• Use of quantitative methods to diagnose model implementation issues and impacts

Skills

Python

PySpark

GitHub

Code Reviews

Communication

Critical Thinking

Financial Instruments

Financial Regulation

Quantitative Methods

Risk Management

Source Code Management

Tools

Git

GitHub

Docker

Kubernetes

OpenShift

GitHub Actions

Airflow

Job description

Job Description

What is the opportunity?

Reporting to the Director, Credit & Stress Testing Implementation Assurance, the Manager, ML Engineer will apply business and technical knowledge to turn models into production-grade services that will support model development across the Credit Modeling and Methodology Team (CMM).

In this position you will have the opportunity to work across all banking book exposures in full development/deployment cycles of critical provisioning (CECL, IFRS9) and stress testing (CCAR, EWST, MST) programs. You will be responsible for the production lifecycle of the ECL generation process through development of production source code, building and execution of user assurance and post-implementation testing (UAT/PIV), writing implementation documentation, and development of continuous assurance solutions.

What will you do?

Develop credit risk model implementations

• Develop scalable and efficient production implementations of all credit risk models across provisioning and stress testing programs
• Engineer and maintain scalable ETL pipelines and workflows
• Apply and advocate for coding best practices to optimize production system performance, scalability, and reliability
• Development of scalable testing solutions to increase coverage, including unit testing
• Build and maintain CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Airflow)
• Contribute to code reviews, collaborate with data scientists, credit risk modelers, and IT teams
• Maintain technical documentation and submit change control UAT/PIV evidence for validation review
• Use of quantitative methods to diagnose model implementation issues and impacts

What do you need to succeed?

Must Have

• 0-2+ years related work experience in developing and/or deploying scalable coding solutions (including distributed systems and performance optimization)
• Knowledge of credit risk methodology, including capital estimation, credit risk/stress testing models, and/or direct experience with Expected Credit Loss implementations
  • Strong programming experience and providing technical leadership on modern Python and PySpark (or similar)
• Experience in data manipulation on large datasets
• Credit Risk & Banking Stress Testing: Understanding of provisioning models and stress testing frameworks
• Testing & QA: UAT/PIV testing experience in regulated financial environments
• Experience in code management solutions (e.g. Git, GitHub)
  • Strong interpersonal, communication, and presentation skills, with the ability to articulate and document complex technical problems and control process for a non-technical audience
  • Ability to structure workload and manage multiple competing priorities.
  • Conceptual thinker with a curious mind to challenge and question the status quo and the ability to make quantitative decisions on ambiguous and complex techniques which will have an impact directly on RBC's financial statements.

Nice to Have

• Test automation frameworks and CI/CD pipeline optimization
• Experience with agile transformation or process improvement
• AI-assisted development tools (GitHub Copilot, Windsurf, Claude Code)
• Familiarity with the AWS Sagemaker environment

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
• Ability to make a difference and lasting impact
• Flexible work/life balance options
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

Job Skills

Code Reviews, Communication, Critical Thinking, Financial Instruments, Financial Regulation, GitHub, Long Term Planning, Process Management, Python (Programming Language), Quantitative Methods, Risk Management, Source Code 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:

2026-10-16

Application Deadline:

2026-10-30

Note** : **