Lead, Business System Analyst

Main Activities:

• Manage and plan upcoming deliverables and tasks within the project sprint cycles.
• Establish a plan for stakeholder workshops to capture and elaborate detailed user stories, by bundles of Themes and Epics.
• Facilitate workshops to document customer / user needs, process / system flows, and end to end requirements as detailed user stories. User Stories will include key areas such as happy path experiences, alt/error flows, spec-by-example, acceptance criteria, and business value.
• With cross-functional Pod and external supplier support, decompose user story and experience requirements by supplier. Establish and maintain traceability from the Bank’s overarching requirements to each supplier.
• Drive and ensure sign-off of BA created artefacts across the Pod team and stakeholders.
• Support cross-functional Pod and to create technical design documents, create acceptance criteria and testing artefacts, and story point estimation (where applicable).
• Support ad hoc business and technical analysis requests to support main activities as required, such as API data maps.
• Support daily stand-ups and project velocity reporting as required (ex: pace of writing & approving detailed user stories).
• Review and support other Business System Analyst team members for work quality and consistency

Knowledge/Skill Requirements:

• Deep understanding of Software Development Life Cycle concepts
• Experience with both waterfall and agile methodologies
• Business domain knowledge in Canadian Online and/or Retail Banking is mandatory
• Good understanding of Canadian Banking legislation, regulations and policies such as Compliance (FCAC) Regulatory (OSFI, CDIC)
• Proven ability to translate credit risk methodologies and regulatory requirements into business, data, and system requirements
• Working knowledge of Python and SQL, with the ability to interpret code artifacts, validate business rules, analyze data flows, and understand model calculations and outputs.
• Experience with credit risk data sourcing, lineage, controls, and governance, ensuring data quality, traceability, and compliance with regulatory and model risk management requirements.
• Strong understanding of credit risk regulatory frameworks and reporting requirements, including IFRS 9 Expected Credit Loss (ECL), OSFI Capital Adequacy Requirements (CAR), and enterprise stress testing frameworks.
• Demonstrated knowledge of credit risk concepts, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), credit risk staging, regulatory capital calculations, and stress testing methodologies.
• Working knowledge of data platforms, data pipelines (ETL/ELT), and enterprise data architecture concepts
• Proficient user of all Microsoft tools; Knowledgeable with Atlassian suite (JIRA & Confluence).
• Post-Secondary education, preferably in Technology related fields
• 8 or more years of experience in delivering technology projects in a Business Analyst capacity or related role