BSA – Stratify / Client Data & Reporting Platform
- Toronto, ON, Canada
$75 to $80 CAD / hour · Contract
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Job details
- Pay
- $75 to $80 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Working with one of our top financial clients, this role calls for a BSA – Stratify / Client Data & Reporting Platform. This position focuses on supporting internal client data and reporting platform, Stratify, which centralizes client attributes, trading activity, and historical data. The role involves analyzing complex data, supporting operational reporting, and bridging technical systems with business needs in a collaborative, fast-paced environment.
Pay rate range (CAD): $75.00/hr – $80.00/hr
Responsibilities
- Analyze and interpret client data, transaction details, and historical information within Stratify.
- Collaborate with business, operations, data, and technology teams to gather and translate requirements.
- Investigate data issues, system behavior, and reporting logic to ensure accurate data flow and operational reporting.
- Support reconciliation, settlements, and end-of-day processing activities through data analysis.
- Develop and support reporting processes, dashboards, and analytics, ensuring data integrity and relevance.
- Translate technical specifications into functional insights for solution teams and stakeholders.
- Assist in troubleshooting and resolving data discrepancies within the platform.
- Work closely with middle and back-office stakeholders to understand operational data needs.
- Strong experience with client data initiatives, including handling client and account attributes, transactional data, and historical datasets.
- Proven ability to support and understand complex data reporting and reconciliation processes.
- Excellent SQL capability for data investigation, validation, and analysis.
- Knowledge of systems and data flow, including data schemas, relationships, and dependencies.
- Experience working with systems integration, data lineage, and downstream data consumption.
- Strong business acumen, understanding operational processes like settlements, reconciliations, and activity monitoring.
- Effective communication skills, with the ability to connect technical data analysis to operational impacts.
- Capital markets experience, specifically in equities or trading lifecycle.
- Back-office or middle-office operational experience.
- Experience with regulatory reporting.
- Knowledge of analytic dashboards and reporting tools.
- Familiarity with financial services client data practices and data governance.
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More about this job
Responsibilities
Analyze client, transaction, and historical data in the Stratify platform, investigate data issues, and support reconciliation, settlements, and end-of-day processing. Gather and translate business requirements, maintain accurate reporting and analytics, and coordinate with business, operations, data, and technology stakeholders to resolve discrepancies.
Requirements
The role seeks strong experience with client and account data, transactional and historical datasets, complex reporting, and reconciliation processes, along with excellent SQL skills. Candidates should understand data schemas, system integrations, data lineage, downstream data use, and operational processes; capital markets, middle- or back-office operations, regulatory reporting, and dashboard experience are advantageous.
Skills
- Client Data Analysis
- SQL
- Data Reporting
- Data Reconciliation
- Data Validation
- Data Integrity
- Data Schemas
- Systems Integration
- Data Lineage
- Requirements Gathering
- Stakeholder Communication
- Operational Processes
- Settlements
- Capital Markets
- Regulatory Reporting
- Analytics Dashboards
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Finance & Accounting
- Technology
Keywords
- Stratify
- Client Data
- Account Attributes
- Transactional Data
- Historical Data
- SQL
- Data Analysis
- Operational Reporting
- Data Reconciliation
- Settlements
- End-of-Day Processing
- Data Validation
- Data Integrity
- Data Schemas
- Systems Integration
- Data Lineage
- Downstream Data Consumption
- Requirements Gathering
- Data Discrepancies
- Middle Office
- Back Office
- Capital Markets
- Equities
- Trading Lifecycle
- Regulatory Reporting
- Analytics Dashboards
- Data Governance
- Financial Services