Lead, Business System Analyst

EQ Bank; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

EQ Bank in Toronto is seeking an experienced Business Analyst to drive analysis for technology projects within retail banking. You will partner with product, engineering, and risk teams to translate business needs into clear requirements and deliverables.

You will facilitate workshops to elicit user stories, define acceptance criteria, support data mappings, and ensure traceability from high level goals to detailed specifications.

Qualifications

• Deep understanding of SDLC concepts.
• Experience with waterfall and agile methodologies.
• Business domain knowledge in Canadian Online and/or Retail Banking is mandatory.
• Understanding Canadian banking regulations and policies (FCAC, OSFI, CDIC).
• Translate credit risk methodologies and regulatory requirements into business, data, and system requirements.
• Python and SQL knowledge to interpret code, validate business rules, analyze data flows.
• Credit risk data sourcing, lineage, controls, and governance with regulatory alignment.
• Knowledge of IFRS 9 ECL, OSFI CAR, and stress testing frameworks.
• Understanding PD, LGD, EAD, regulatory capital calculations, and stress testing.
• Data platforms, ETL/ELT, and enterprise data architecture concepts.
• Microsoft tools proficiency; JIRA & Confluence familiarity.
• Post-Secondary education in technology.
• 8+ years in delivering technology projects as a BA.

Responsibilities

• Plan and manage upcoming deliverables and tasks within sprint cycles.
• Capture and elaborate detailed user stories by Themes and Epics.
• Facilitate workshops to document customer needs, flows, and end-to-end requirements as detailed user stories.
• Decompose requirements with cross-functional Pod and external suppliers, ensuring traceability.
• Drive sign-off of BA artefacts across Pod and stakeholders.
• Support creation of design documents, acceptance criteria, and testing artefacts.
• Assist ad hoc business and technical analysis requests (e.g., API data maps).
• Support daily stand-ups and velocity reporting.
• Review work quality across BA team members.

Skills

SDLC concepts

Waterfall

Agile methodologies

Canadian Banking

Regulatory knowledge

Python

SQL

Data governance

IFRS 9 ECL

OSFI CAR

JIRA

Confluence

Data pipelines

Post-Secondary education

Tech project delivery

Education

Post-Secondary education in technology

Tools

JIRA

Confluence

Job description

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