Job DescriptionWhat is the opportunity? We9re seeking a Staff Engineer focused on building and scaling data-driven systems that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next-generation Market and Counterparty Credit risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship.
What will you do? - Lead by Doing: Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands-on role with end-to-end ownership, with significant time doing coding.
- Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.
- Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.
- Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.
What do you need to succeed?Must Have:- 5+ years of experience in backend software engineering and distributed systems design
- 3+ years building and scaling data engineering systems with modern tools (Spark, Kafka, Airflow, SQL)
- Deep expertise in backend languages and frameworks (Java, Python, Go, Scala) and REST/gRPC APIs
- Proven experience with system design, microservices architecture, and cloud platforms (AWS, Azure)
- 2+ years of hands-on experience with AI/ML integration, LLM applications, or agentic systems
- Strong understanding of data pipeline architecture, ETL/ELT patterns, and real-time data processing
- Excellent communication skills-able to clearly explain complex technical concepts to both technical and non-technical audiences
- Bachelor9s degree in Computer Science, Engineering, or a related field; Master9s or PhD preferred
Nice to Have:- Experience designing and deploying agentic AI systems or multi-agent frameworks
- Background in enterprise-level data governance, security, and compliance practices
- Hands-on experience with Snowflake, AWS SageMaker, or modern vector databases
- Experience with Kubernetes, containerization, or infrastructure-as-code
- Knowledge of financial systems, trading platforms, or risk management systems
What9s 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
- A world-class training program in financial services
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies
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Job SkillsBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job DetailsAddress:RBC CENTRE, 155 WELLINGTON ST W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-07-09
Application Deadline:2026-07-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
