Lead Business Systems Analyst

Royal Bank of Canada•Toronto, ON

1d•Onsite

About The Position

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.

Requirements

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 Haves

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)

Responsibilities

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
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
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