Role: Senior/Lead Business Systems Analyst.
Location: Toronto ON (Onsite).
Duration: Long Term Contract.
Job Overview
You are the translator who converts complex Capital Markets requirements (trading risk settlement) into precise technical specifications that engineering teams execute flawlessly. This senior role demands deep domain expertise technical literacy to ensure Azure cloud solutions meet regulatory and business reality.
Capital Markets Domain Mastery
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Trading: Equities Fixed Income Derivatives (Options Futures Swaps)
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Risk: VaR Stress Testing Greeks Counterparty Credit Risk
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Settlement: T1/T2 workflows DTCC NSCC SWIFT MT messages
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Regulatory: MiFID II Dodd-Frank EMIR SEC Rule 15c3-5
Technical Translation
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API Contracts: REST OpenAPI 3.0 specs XML/JSON schema validation
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Data Forensics: Complex SQL (window functions CTEs pivots) Python Pandas profiling
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Azure Literacy: AKS services Event Hubs Cosmos DB partitioning ADLS data flows
Agile Leadership
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Scrum Master: Daily standups sprint planning retrospectives burndown mastery
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Backlog Management: User story refinement acceptance criteria MoSCoW prioritization
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Stakeholder Alignment: Product Owner proxy engineering velocity forecasting
Required Expertise (6-10 years)
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4 years Capital Markets (trading systems risk management or settlement operations)
-
3 years technical analysis (SQL data forensics Python data quality API specifications)
-
2 years Agile/Scrum leadership (backlog ownership sprint delivery at enterprise scale)
-
Azure functional knowledge (services mapping integration patterns cost optimization)
-
API mastery (REST contracts XML/JSON validation Postman collections)
-
Proven translation impact (requirements delivered solutions meeting business KPIs)
Must Demonstrate
-
Wrote API specs adopted by 10 engineering teams
-
Identified $500K data quality issues through SQL/Python forensics
-
Led 6 month Capital Markets projects from requirements to production
-
Maintained 90% story acceptance rate across multiple sprints
Role: Senior/Lead Business Systems Analyst. Location: Toronto ON (Onsite). Duration: Long Term Contract. Job Overview You are the translator who converts complex Capital Markets requirements (trading risk settlement) into precise technical specifications that engineering teams execute flawless...
Role: Senior/Lead Business Systems Analyst.
Location: Toronto ON (Onsite).
Duration: Long Term Contract.
Job Overview
You are the translator who converts complex Capital Markets requirements (trading risk settlement) into precise technical specifications that engineering teams execute flawlessly. This senior role demands deep domain expertise technical literacy to ensure Azure cloud solutions meet regulatory and business reality.
Capital Markets Domain Mastery
-
Trading: Equities Fixed Income Derivatives (Options Futures Swaps)
-
Risk: VaR Stress Testing Greeks Counterparty Credit Risk
-
Settlement: T1/T2 workflows DTCC NSCC SWIFT MT messages
-
Regulatory: MiFID II Dodd-Frank EMIR SEC Rule 15c3-5
Technical Translation
-
API Contracts: REST OpenAPI 3.0 specs XML/JSON schema validation
-
Data Forensics: Complex SQL (window functions CTEs pivots) Python Pandas profiling
-
Azure Literacy: AKS services Event Hubs Cosmos DB partitioning ADLS data flows
Agile Leadership
-
Scrum Master: Daily standups sprint planning retrospectives burndown mastery
-
Backlog Management: User story refinement acceptance criteria MoSCoW prioritization
-
Stakeholder Alignment: Product Owner proxy engineering velocity forecasting
Required Expertise (6-10 years)
-
4 years Capital Markets (trading systems risk management or settlement operations)
-
3 years technical analysis (SQL data forensics Python data quality API specifications)
-
2 years Agile/Scrum leadership (backlog ownership sprint delivery at enterprise scale)
-
Azure functional knowledge (services mapping integration patterns cost optimization)
-
API mastery (REST contracts XML/JSON validation Postman collections)
-
Proven translation impact (requirements delivered solutions meeting business KPIs)
Must Demonstrate
-
Wrote API specs adopted by 10 engineering teams
-
Identified $500K data quality issues through SQL/Python forensics
-
Led 6 month Capital Markets projects from requirements to production
-
Maintained 90% story acceptance rate across multiple sprints
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