Senior Associate- Manual+Automation QA

Job purpose

Seeking a Manual & Automation QA Engineer with strong Capital Markets and Fixed Income expertise to drive functional, integration, end-to-end, and data quality testing across trading, post-trade, investment management, and data platforms. The role is responsible for ensuring application quality, data accuracy, business rule compliance, and regulatory adherence through manual testing, source-to-target validation, reconciliation, and automation-led regression testing. The ideal candidate will leverage Python/SQL-based automation frameworks, validate complex fixed-income and post-trade workflows, and collaborate closely with business and engineering teams to deliver high-quality, reliable solutions across legacy and modern technology environments.

Key responsibilities

• Perform functional, system, integration, and end-to-end testing across fixed income applications

• Validate complete trade lifecycle events across asset classes including trade capture, order management, execution, confirmation, clearing, settlement, corporate actions, and reporting.

• Perform testing of derivative products and workflows including Options, Swaps, Futures, and Forwards.

• Validate business workflows covering bonds, treasuries, corporate debt, and other fixed income instruments

• Verify trade booking, valuations, cashflows, margin processing, lifecycle events, and settlement workflows across asset classes.

• Create, execute, and maintain comprehensive test cases, test scenarios, and regression test suites

• Perform requirement analysis and ensure test coverage aligned with business and regulatory requirements

• Collaborate with business analysts, traders, product owners, and development teams to validate business functionality

• Support testing across legacy platforms and modern cloud-based applications

• Perform source-to-target data validation across legacy and modern systems, including SQL Server and cloud-based data environments.

• Validate data accuracy, completeness, consistency, timeliness, duplication handling, referential integrity, schema structures, metadata, lineage, and business-rule conformance.

• Build and maintain automation-first regression testing frameworks using Python, PySpark, SQL, and reusable validation utilities.

• Execute field-level, dataset-level, transformation-level, and aggregate-level data checks across source, staging, warehouse, data lake, and downstream systems.

• Validate ETL/ELT pipelines, post-trade data flows, stored procedures, batch jobs, and cloud-based execution workflows.

• Design reusable test cases, validation scenarios, reconciliation checks, automated scripts, and regression packs for repeatable data-quality assurance.