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Burford Capital is the leading global finance and asset management firm focused on law. Its businesses include litigation finance and risk management , asset recovery and a wide range of legal finance and advisory activities. Burford is publicly traded on the New York Stock Exchange (NYSE: BUR) and the London Stock Exchange (LSE: BUR), and it works with companies and law firms around the world from its principal offices in New York, London, Chicago, Washington, Singapore, and Dubai.

Burford Capital is the largest and most experienced provider of commercial finance to the legal sector in the world, with a core expertise in identifying and optimizing the value of legal assets for companies and law firms. Since its founding in 2009, Burford has worked with hundreds of law firms and corporations, including 94 of the AmLaw 100 and 92 of the Global 100 largest law firms. Our team has grown from five people at the end of 2009 to over 160 people today, including over 55 lawyers. Burford possesses the resources and expertise of a large company while retaining the flexibility and creativity of a startup. Team members are smart, creative, collaborative, curious, and confident. Everyone rolls up their sleeves to perform and engage collectively for the overall success of the business. Burford values rigorous thinking, clear communication, and efficient execution.

Burford pays base salaries consistent with the financial services industry and favors incentive compensation to reward performance. Burford provides competitive health care benefits and a 401k matching program. Burford Capital is committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, whether or not they have a disability.

The firm seeks to hire a detail-oriented and technically capable QA Engineer to support the quality of complex, data-driven financial applications through a combination of manual testing, test planning, and automation engineering. The ideal candidate will have approximately five years of experience in software quality assurance, including hands‑on experience designing test cases, performing exploratory and regression testing, and building maintainable automated test suites.

The role will also use modern AI-assisted development tools to accelerate test creation, identify edge cases, support automation development, and improve failure analysis, while applying appropriate engineering judgment and validation. The successful candidate will work closely with developers, quantitative professionals, and business users to ensure that software and data solutions are reliable, accurate, performant, and production-ready.

The QA Engineer will work as part of Burford’s Core Services group and contribute to a variety of software and data projects across the firm’s evolving tools and platforms. The individual will help define acceptance criteria and testing strategies, execute manual and automated tests, develop reusable testing tools, and integrate quality checks into the software development and delivery process. The role will collaborate with developers, business analysts, business stakeholders, and vendors to deliver solutions aligned with company goals and priorities. The ideal candidate will be an energetic, collaborative, and proactive individual who is comfortable working across multiple projects, sharing expertise with others, investigating issues in depth, and taking ownership of results.

The base compensation range for this role is $100,000 - $120,000. Burford also pays a discretionary annual bonus and provides welcome Restricted Stock Units to all full‑time employees.

The role will report to the Software Engineering Group Lead and will be based in Burford’s New York office.

Burford is seeking a hands‑on QA Engineer with at least five years of experience to help improve the quality, reliability and release confidence of its data‑driven financial applications. This is a blended quality engineering role for someone who can translate requirements into thoughtful test cases, perform manual and exploratory testing, and build maintainable automated test coverage across web applications, APIs, data flows and integrations.

The QA Engineer will work as part of the Core Services group and collaborate with software engineers, data professionals, business analysts, product stakeholders and vendors. The successful candidate will use modern AI‑assisted development tools to accelerate test design, automation and failure analysis while applying sound engineering judgment.

• AI-assisted quality engineering: Use approved generative AI and coding assistants to draft test scenarios, generate automation scaffolding, improve coverage, analyze failures and maintain test assets. Review generated output for correctness, security, maintainability and business relevance.
• API and data validation: Test RESTful services, data pipelines and database integrations; use SQL to validate data accuracy, completeness and consistency across PostgreSQL, Snowflake, SQL Server or similar platforms.
• CI/CD integration: Incorporate automated tests into Azure DevOps, GitHub Actions or comparable pipelines and help define appropriate quality gates for pull requests, deployments and scheduled regression runs.
• Defect management: Record clear, reproducible defects; partner with engineers to isolate root causes; verify fixes and identify opportunities to prevent recurrence through automation or process improvement.
• Test environments and data: Help create repeatable test data, fixtures, mocks and environment setup that support parallel development and dependable automated execution.
• Quality reporting: Communicate test results, release risks, escaped defects, automation health and coverage gaps in a concise and actionable manner.
• Shift-left collaboration: Participate early in the software development lifecycle, challenge unclear requirements and help teams design applications that are observable, testable and resilient.

• Experience using AI‑assisted development or testing tools to improve productivity, together with the judgment to validate generated tests and avoid exposing confidential or regulated information.
• Strong analytical, debugging and communication skills, with the ability to collaborate across technical and nontechnical teams.

• Experience testing financial, legal, quantitative or other data‑intensive enterprise applications.
• Familiarity with Azure, Docker, cloud‑hosted applications and test execution in containerized environments.
• Exposure to accessibility, performance, security or model‑output validation testing.
• Experience improving flaky test suites, test data management or cross‑application end‑to‑end coverage.
• Bachelor's degree in computer science, engineering or a related discipline, or equivalent practical experience.

Nearest Major Market: Manhattan

Nearest Secondary Market: New York City