Senior QA Engineer - Lending & Risk Decisioning Testing

About the role

A Senior QA Engineer with strong experience in lending or credit-based financial products is sought to ensure the quality, reliability and performance of backend systems. The role focuses on end-to-end testing of lending workflows, building API automation frameworks and validating risk decisioning logic across complex, distributed systems.

Key responsibilities

• Design and run test strategies for lending products, covering functional, API, integration and end-to-end testing.
• Test the full lending lifecycle: loan applications, approvals, disbursements, repayments and collections.
• Build and maintain scalable API automation frameworks in Python (pytest) or Java, integrated into CI/CD pipelines.
• Build automated regression suites covering critical workflows, edge cases, negative scenarios and exceptions.
• Validate microservices, transaction integrity, database consistency, asynchronous processing and message-driven workflows.
• Test risk decisioning systems: credit eligibility, approval rules, credit limits and risk policies.
• Work with Product, Risk, Engineering and DevOps teams to identify quality risks and ensure reliable releases.
• Investigate complex defects, perform root cause analysis and improve test coverage and automation efficiency.

Required profile

• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• 5+ years of QA experience, with strong hands-on expertise in backend, API automation and integration testing.
• Mandatory experience testing lending or credit-based products such as personal loans, consumer lending, BNPL or other credit products.
• Strong understanding of the end-to-end lending lifecycle.
• Good understanding of REST APIs, distributed microservices and asynchronous messaging; experience integrating regression testing into CI/CD.
• Excellent spoken and written English, able to work independently and collaboratively.

Required skills

• API automation with Python (pytest) or Java
• SQL and database validation and data reconciliation
• Preferred: credit decision engines, decision rule validation, performance/load testing tools (JMeter, k6, Gatling)