Machine Learning & Data Engineer

RBC Capital Markets is building globally scalable Client Analytics & AI capabilities that improves front office outcomes across Global Markets and Banking. This role sits at the core of that build: supporting the ML/data foundation that makes today’s analytics products robust and makes tomorrow’s AI/ML products fast to deliver.

You will be…

• The high output IC for the Client Analytics & AI platform foundation (analytic products, pipelines, operational patterns), reporting to the program lead.

• A hands-on builder who can raise engineering maturity across multiple initiatives while keeping delivery moving.

• A partner to business stakeholders who can translate needs into scalable, maintainable data/ML engineering solutions with the right controls.

What will you do?

• Support the build-out and continuous improvement of the program’s Databricks-based engineering foundation (data pipelines, analytic products, orchestration, performance, cost discipline) that powers multiple analytics and AI initiatives.

• Refactor and standardize existing analytics assets into AI/ML-ready foundations (clean joins, high entity resolutions, feature/label-ready tables, time-aligned datasets, reusable libraries).

• Establish pragmatic MLOps and model-operational patterns (centralized model packaging/serving approach, MLflow/registry workflows, deployment standards) so modelling can scale cleanly as the roadmap matures.

• End-to-end delivery for priority data and engineering workstreams, coordinating across Technology, Cloud Platform, and stakeholders to ensure solutions are production-grade and reusable.

• Partner with business stakeholders to capture requirements, manage expectations, and ensure products land with adoption, and scale historically “one-off” builds.

• Build in appropriate control discipline from day one: data access/entitlements, handling of sensitive client information, and required documentation/approvals for production delivery in a regulated environment.

• Contribute to roadmap planning with the program lead: identify bottlenecks, propose platform foundations to build next, and sequence work to maximize compounding reuse across initiatives.

• In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.

What do you need to succeed?

Must have:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics or a related discipline (or equivalent practical experience).

• Strong hands-on experience in data engineering with modern lakehouse patterns;

• Proven ability to take ambiguous business problems and deliver robust data products (data modelling, pipeline design, orchestration, testing, documentation) used by demanding stakeholders.

• Working knowledge of ML engineering / MLOps concepts (model lifecycle, registries, deployment patterns, reproducible training, feature pipelines).

• Strong software engineering fundamentals (Python, SQL, modular code, code review discipline, CI/CD mindset) and a track record of raising engineering quality in a team.

• Strong stakeholder management: can interface with front office and control partners, handle pushback and prioritization professionally, and keep delivery aligned to commercial outcomes

.

Nice-to-have:

• Capital markets domain familiarity (coverage workflows, wallet/share concepts, corporate access, sponsor coverage, client engagement).

• Knowledge in distributed computing such as Databricks / Spark / Delta in production environments

• Experience with entity resolution, relationship/graph data structures, or event/trigger-style data products.

• Experience implementing access controls/entitlements patterns and working with sensitive datasets (client communications, CRM data) in regulated environments.

• Experience with MLflow, feature stores, model serving patterns, and/or building shared ML libraries for multiple teams.

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, competitive compensation, commissions, and stock where applicable.

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

• Ability to make a difference and lasting impact.

• Work in a dynamic, collaborative, progressive, and high-performing team.

• Flexible work/life balance options.

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Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

1 PLACE VILLE MARIE:MONTRÉALMontréalCanada37.5Full timeCAPITAL MARKETSRegularSalaried2026-04-022026-04-30

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.

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.