Lead Business System Analyst

About the role

The Lead Business System Analyst (BSA) facilitates the identification and documentation of detailed user stories, process and system flows, and contributes to the user experience, technical solution and acceptance criteria for Enterprise Technology and Data strategic projects and programs. The role sits in a cross-functional Pod working with hybrid-agile methodology and tools, and works with stakeholder groups across Finance, Risk, Treasury, Fraud, AML and multiple technology teams and suppliers.

Key responsibilities

• Manage and plan deliverables and tasks within project sprint cycles.
• Plan stakeholder workshops to capture user stories grouped by themes and epics, and run workshops to document user needs, process flows and end-to-end requirements.
• Decompose user story and experience requirements by supplier, with cross-functional Pod and external supplier support, and maintain traceability from bank-wide requirements to each supplier.
• Drive sign-off of BA artefacts across the Pod and stakeholders.
• Support creation of technical design documents, acceptance criteria, testing artefacts and story point estimation.
• Support ad hoc business and technical analysis requests, such as API data maps.
• Support daily stand-ups and project velocity reporting.
• Review and support other Business System Analyst team members for work quality and consistency.

Required profile

• Post-secondary education, preferably in technology-related fields.
• 8 or more years of experience delivering technology projects as a Business Analyst or in a related role.
• Deep understanding of the software development life cycle and 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 (Compliance, FCAC, OSFI, CDIC).
• Ability to translate credit risk methodologies and regulatory requirements into business, data and system requirements.

Required skills

• Working knowledge of Python and SQL, able to interpret code, validate business rules, analyse data flows and understand model outputs.
• Experience with credit risk data sourcing, lineage, controls and governance.
• Understanding of credit risk frameworks such as IFRS 9 ECL, OSFI CAR and stress testing, including PD, LGD, EAD and regulatory capital calculations.
• Working knowledge of data platforms, ETL/ELT pipelines and enterprise data architecture.
• Proficiency with Microsoft tools and knowledge of JIRA and Confluence.