Manager, ML Engineer

Location: TORONTO, Ontario, Canada

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: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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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.