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