Training Program Analyst Jobs in Toronto, ON (NOW HIRING)

What is the opportunity?

RBC's Global Functions Technology (GFT) is hiring Senior Business Systems Analysts to join its Retail Credit & Climate Risk technology (Data & AI) team. In this role, you'll be responsible for delivering requirements, functional and non-functional specifications and driving the implementation of predictive analytics and ML model products-including data ETL pipelines, feature stores, and the deployment of offline and online models. You'll work with big data and Python technologies, engineering solutions for high compute/memory infrastructure use cases that solve real business challenges.

What will you do?

Requirement Analysis & Strategic Documentation

• Engage and partner with Model Developer and Strategy teams to deploy data pipelines, prescriptive analytics, and ML model applications that drive business value

• Support Product Managers, Product Owners, and Scrum Masters in planning and executing projects while maintaining alignment with broader technology objectives

• Facilitate information gathering sessions by leading discussions, managing group dynamics, and maintaining focus to accomplish project goals-translating these sessions into comprehensive requirements documentation, business use cases, feasibility analysis, and cross-functional diagrams

• Work with senior stakeholders to validate requirements through structured reviews and walkthroughs, ensuring system specifications meet business expectations; negotiate solutions when trade-offs are needed

• Partner with platform engineering teams to ensure technical capabilities and data requirements are clearly understood, identify dependencies and integration points

• Document both functional and non-functional requirements with clarity and precision

Data Analysis & Sourcing Strategy

• Analyze incoming datasets and develop detailed requirements & specifications around sourcing solutions, data provisioning, and transformation approaches

• Complete comprehensive data profiling and documentation to identify data sources, gaps, and quality issues

• Apply compliance and information security guidelines within the context of datasets and business requirements; identify data accuracy needs and evaluate solution options

Communication, Planning & Quality Assurance

• Support Architects and Development teams in designing and implementing technical solutions that balance business needs with technical feasibility

• Participate in test reviews and user acceptance testing in collaboration with the project team to ensure deliverable quality

• Lead implementation planning, post-implementation validations, and L2 production incident analysis as needed, while managing risks, assumptions, and constraints

• Communicate findings and recommendations to appropriate stakeholders with clarity and influence

What do you need to succeed?

Must Have:

• 5+ years of progressive experience as a Business Systems Analyst managing requirements on large and complex projects, demonstrating ability to work independently, apply critical and strategic thinking, and manage multiple competing priorities

• Strong business domain understanding of Financial Services, Retail Credit Risk, Retail and Commercial Banking; excellent data analysis capabilities and solid background with complex software products (preferably cloud/data analytics focused)

• Hands-on experience delivering technology projects using Agile methodology, with proven ability to execute within iterative delivery frameworks

• Requirements planning and prioritization expertise, including stakeholder analysis and effort estimation specific to building and designing data pipelines; demonstrated data analysis expertise using SQL, Tableau, Pyspark, or Python for both batch and real-time use cases

Nice to Have:

• Master's degree in a Quantitative subject

• Experience in data modeling, entity-relationship diagramming, ETL processes, and API schema definitions

• Experience working with Retail Credit Banking data or consulting firms specializing in implementation consulting

• Hands-on experience with Big Data technologies (such as Cloudera Data Platform), working directly with Hive databases on HDFS

• Understanding of Mainframe technologies (JCLs, COBOLs, Copybooks)

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

• A world-class training program in financial services

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Additional Job Details

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.