Job DescriptionWhat 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 prospect 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 implementationsDevelop scalable and efficient production implementations of all credit risk models across provisioning and stress testing programsEngineer and maintain scalable ETL pipelines and workflowsApply and advocate for coding best practices to optimize production system performance, scalability, and reliabilityDevelopment of scalable testing solutions to increase coverage, including unit testingBuild and maintain CI/CD automation (Docker, Kubernetes, Open Shift, Git Hub Actions, Airflow)Contribute to code reviews, collaborate with data scientists, credit risk modelers,



and IT teamsMaintain technical documentation and submit change control UAT/PIV evidence for validation reviewUse of quantitative methods to diagnose model implementation issues and impactsWhat do you need to succeed?Must Have0-2+ 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 implementationsStrong programming experience and providing technical leadership on modern Python and Py Spark (or similar)Experience in data manipulation on large datasetsCredit Risk & Banking Stress Testing: Understanding of provisioning models and stress testing frameworksTesting & QA: UAT/PIV testing experience in regulated financial environmentsExperience in code management solutions (e.G. Git, Git Hub)Strong interpersonal, communication, and presentation skills,



with the ability to articulate and document complex technical problems and control process for a non-technical audienceAbility 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 HaveTest automation frameworks and CI/CD pipeline optimizationExperience with agile transformation or process improvementAI-assisted development tools (Git Hub Copilot, Windsurf, Claude Code)Familiarity with the AWS Sagemaker environmentWhat’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 compensationLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactFlexible work/life balance optionsWork in a dynamic, collaborative, progressive, and high-performing teamOpportunities to do challenging workJob SkillsCode Reviews, Communication, Critical Thinking, Financial Instruments, Financial Regulation, Git Hub, Long Term Planning, Process Management, Python (Programming Language), Quantitative Methods, Risk Management, Source Code ManagementAdditional Job DetailsAddress:RBC CENTRE, 155 WELLINGTON ST W: TORONTOCity:TorontoCountry:CanadaWork hours/week:37.5Employment Type:Full timePlatform:GROUP RISK MANAGEMENTJob Type:RegularPay Type:SalariedPosted Date:Application Deadline:Note** : **#J-18808-Ljbffr

📌 Manager, Ml Engineer (Toronto)
🏢 RBC
📍 Toronto