Lead, Business System Analyst

Eqbank

Toronto

Hybrid

CAD 120,000 - 180,000

Full time

7 days ago
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Job summary

EQ Bank is seeking a Lead Business System Analyst to drive detailed user stories, flows and acceptance criteria for enterprise technology and data initiatives. You will facilitate workshops, capture customer needs and ensure traceability from business needs to technical design in a hybrid‑agile environment.

You will collaborate with Finance, Risk, Treasury, Fraud, AML and multiple tech teams and suppliers, aligning regulatory knowledge with credit risk data, ETL/ELT pipelines and system

Qualifications

  • Experience delivering technology projects in a business analyst capacity.
  • Strong knowledge of Canadian Online/Retail Banking domain.
  • Ability to translate regulatory requirements into business/data/system needs.

Responsibilities

  • Identify and document detailed user stories and flows.
  • Facilitate workshops to elicit customer needs and acceptance criteria.
  • Ensure traceability from business requirements to supplier deliverables.
  • Support sign-off of artefacts and testing artefacts with stakeholders.
  • Collaborate with cross-functional teams and external suppliers.

Skills

SDLC
Agile
Waterfall
Regulatory knowledge
Data analysis
Stakeholder workshops
Traceability

Education

Post-secondary degree in Technology or related field

Tools

SQL
Python
ETL/ELT
JIRA
Confluence

Job description

Purpose of Job

The Lead Business System Analyst (BSA) will facilitate the identification and documentation of detailed user stories (functional requirements), process and system flows and contribute to the overall user experience, technical solution and acceptance criteria for Enterprise Technology and Data strategic projects and programs. The Lead BSA will be a core member within a cross-functional Pod that is delivers using hybrid-agile methodology and tools. The Lead BSA Lead will work with stakeholder groups across the Enterprise Technology and Data portfolios, including Finance, Risk, Treasury, Fraud, AML, and multiple Technology teams and suppliers. EQ Bank uses the latest suite of Atlassian tools (JIRA, Confluence, and add-ons) for capturing epics, user stories, flows, technical design documents, testing, and sprint-based execution.

  • 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.
  • 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
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