BSA with Securities Modernization & Data Platform

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 21-10-2025

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities:

Partner with business stakeholders to gather analyze and document requirements for securities modernization trade processing and data integration initiatives.
Translate business needs into functional and technical specifications that support scalable and compliant solutions across securities and data domains.
Work closely with data platform and engineering teams to define data flows data mapping and transformation logic between legacy and modern systems.
Support data model design for securities reference positions transactions and pricing data.
Conduct impact analysis and contribute to migration planning from legacy mainframe or on-prem systems to cloud-based data platforms.
Collaborate with architecture QA and DevOps teams to ensure end-to-end traceability from requirements to deployment.
Develop and maintain user stories acceptance criteria process flows and data dictionaries in JIRA and Confluence.
Participate in UAT planning test case validation and issue triage for securities and data integration releases.
Support data governance lineage and quality initiatives to enhance transparency and reporting accuracy.
Engage in Agile ceremonies and contribute to backlog refinement sprint planning and retrospectives.

Required Skills & Experience:

8 years of experience as a Business Systems Analyst or Data Analyst in the Banking / Securities / Capital Markets domain.
Strong understanding of Securities lifecycle (Equities Fixed Income Derivatives) and post-trade operations.
Proven experience with data platform modernization data modeling ETL and API integrations.
Hands-on experience with SQL data profiling and data validation.
Familiarity with modern data ecosystems (Snowflake Databricks Redshift BigQuery or Azure Synapse).
Experience working in Agile/Scrum environments using JIRA and Confluence.
Excellent communication and analytical skills with ability to interface between business users and technical teams.
Knowledge of regulatory reporting reference data management and data governance frameworks is a plus.

Key Responsibilities: Partner with business stakeholders to gather analyze and document requirements for securities modernization trade processing and data integration initiatives. Translate business needs into functional and technical specifications that support scalable and compliant solutions ...

Key Responsibilities:

Partner with business stakeholders to gather analyze and document requirements for securities modernization trade processing and data integration initiatives.
Translate business needs into functional and technical specifications that support scalable and compliant solutions across securities and data domains.
Work closely with data platform and engineering teams to define data flows data mapping and transformation logic between legacy and modern systems.
Support data model design for securities reference positions transactions and pricing data.
Conduct impact analysis and contribute to migration planning from legacy mainframe or on-prem systems to cloud-based data platforms.
Collaborate with architecture QA and DevOps teams to ensure end-to-end traceability from requirements to deployment.
Develop and maintain user stories acceptance criteria process flows and data dictionaries in JIRA and Confluence.
Participate in UAT planning test case validation and issue triage for securities and data integration releases.
Support data governance lineage and quality initiatives to enhance transparency and reporting accuracy.
Engage in Agile ceremonies and contribute to backlog refinement sprint planning and retrospectives.

Required Skills & Experience:

8 years of experience as a Business Systems Analyst or Data Analyst in the Banking / Securities / Capital Markets domain.
Strong understanding of Securities lifecycle (Equities Fixed Income Derivatives) and post-trade operations.
Proven experience with data platform modernization data modeling ETL and API integrations.
Hands-on experience with SQL data profiling and data validation.
Familiarity with modern data ecosystems (Snowflake Databricks Redshift BigQuery or Azure Synapse).
Experience working in Agile/Scrum environments using JIRA and Confluence.
Excellent communication and analytical skills with ability to interface between business users and technical teams.
Knowledge of regulatory reporting reference data management and data governance frameworks is a plus.