Data Test Analyst

Support business-critical data quality across wealth management products by validating financial data, backend services, APIs, integrations, batch processing, and data pipelines. The role combines strong domain understanding with advanced data-testing and reconciliation skills.

Demonstrated experience in Data Testing or SDET roles with a strong business and data focus.

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Strong understanding of wealth management or financial services domains.

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Advanced SQL skills for data validation and reconciliation.

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Experience validating backend systems, APIs, and integrations from a data perspective.

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Experience validating batch processing and data pipelines.

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Ability to understand and test business rules, calculations, and financial logic, not only data schemas.

Hands-on experience with Python and PyTest for data-testing automation is an added advantage.

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Roles and Responsibilities

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Business- and Domain-Driven Data Testing

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Develop a strong functional understanding of wealth management products and data, including accounts, positions, holdings, transactions, balances, statements, fees, performance, valuations, and corporate actions.

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Understand business workflows and data flows end to end.

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Translate business rules and requirements into testable data-validation scenarios.

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Data Testing and Reconciliation

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Design and execute data-validation and reconciliation tests for financial transactions and balances.

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Validate data across backend systems, APIs, integrations, batch processes, and data pipelines.

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Use SQL to identify discrepancies, reconcile results, and verify expected business outcomes.

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Collaboration and Defect Analysis

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Partner with business, product, and engineering teams to clarify requirements and expected data behavior.