- Requirements Engineering : Expertise in eliciting, documenting, and prioritizing complex business and functional requirements using techniques like workshops, interviews, and process modeling.
- Project Delivery : Proven track record in Agile/Scrum or Waterfall methodologies, managing deliverables, and ensuring compliance with SDLC standards.
- Hands-on experience on creating user stories on Jira and documenting requirements on confluence.
- Systems Analysis & Design : Proficiency in translating business needs into technical solutions, including process flow diagrams, swim lanes, use cases, and system architecture.
- Stakeholder Management : Robust ability to collaborate with cross-functional teams (business, IT, vendors) to align solutions with strategic goals.
- Strategic Thinking : Ability to align technology solutions with business outcomes and regulatory requirements .
- Communication : Strong communication skills to engage with technical teams (developers, data engineers) and business stakeholders to validate requirements and logic.
- Mentorship : Experience guiding junior BSAs and fostering knowledge-sharing in cross-functional teams.
- GenAI & Automation :
- Familiarity with generative AI tools (e.g., Cohere, OpenAI, Google Gemini) and their applications in banking (e.g., chatbots, document automation, risk analysis).
- Knowledge of AI/ML workflows, prompt engineering, and ethical AI governance frameworks.

Nice-to-haves:

- Process Optimization : Experience in identifying inefficiencies and designing streamlined workflows (e.g., BPMN).
- Industry-Specific Knowledge:
- Messaging & Voice Platforms :



Hands-on experience with omnichannelplatforms (e.g., customer support bots, IVRs)

Must-haves:

- API & Data Integration Expertise
- Proven experience in API discovery , documentation, and lifecycle management.
- Ability to analyze data flow architectures , including how domain sources transmit data downstream (e.g., batch files , ETL processes, real-time streaming).
- Familiarity with EDW (Enterprise Data Warehouse) structures and table access protocols.
- Hands-on knowledge of APIs (REST, SOAP, GraphQL) .
- Business Rules & Transformation Analysis
- Skill in identifying and documenting business rules , data transformations, and enrichment processes applied to datasets before downstream delivery.
- Experience mapping current-state business logic (e.g., fee reversal recommendations) and associated data requirements for action execution.
- Authentication & Security Knowledge
- Understanding of API authentication schemes (OAuth, API keys, JWT, etc.) and their impact on data access/integration.
- Deliverable-Focused Mindset
- Ability to produce structured deliverables:
- API inventories and data lineage diagrams.
- Business rule/transformation documentation.
- Technical Tool Proficiency
- Hands on experience with tools like Postman , Swagger/OpenAPI , SQL, and data modeling software.
- Familiarity with EDW tools (e.g., Snowflake, Teradata) and API gateways.
- Problem-Solving & Analytical Skills
- Capacity to dissect complex systems, identify gaps in data flow, and propose solutions for process improvements

- Capacity to dissect complex systems, identify gaps in data flow, and propose solutions for process improvements

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📌 Senior BSA (Toronto)
🏢 S.i. Systems
📍 Toronto