Role: Analyst
Required Skills: Python | SDET
Qualification: BACHELOR OF COMPUTER SCIENCE
Experience: 2 - 5 Years
Function: TECHNOLOGY
Apply By: 2027-01-01
Role Purpose
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.
Must-Have Technical and Functional Skills
- Demonstrated experience in Data Testing or SDET roles with a strong business and data focus.
- Strong understanding of wealth management or financial services domains.
- Advanced SQL skills for data validation and reconciliation.
- Experience validating backend systems, APIs, and integrations from a data perspective.
- Experience validating batch processing and data pipelines.
- 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.
Roles and Responsibilities
Business- and Domain-Driven Data Testing
- Develop a strong functional understanding of wealth management products and data, including accounts, positions, holdings, transactions, balances, statements, fees, performance, valuations, and corporate actions.
- Understand business workflows and data flows end to end.
- Translate business rules and requirements into testable data-validation scenarios.
Data Testing and Reconciliation
- Design and execute data-validation and reconciliation tests for financial transactions and balances.
- Validate data across backend systems, APIs, integrations, batch processes, and data pipelines.
- Use SQL to identify discrepancies, reconcile results, and verify expected business outcomes.
Collaboration and Defect Analysis
- Partner with business, product, and engineering teams to clarify requirements and expected data behavior.
- Investigate data issues with a business-first mindset.
- Provide clear explanations of data breaks and mismatches.
- Document defects with business context, supporting data evidence, and root-cause insights.
Salary Range: $90,000-$100,000 a year