Automated Test Engineer / QA Lead

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.

The firm seeks to hire a highly experienced and detail-oriented Automated Test Engineer / QA Automation Lead to design, develop, and maintain automated testing frameworks for complex, data-driven financial applications. The ideal candidate will have 8-12 years of experience in software testing withing Wall Street environments, with a proven record of implementing robust automated testing strategies across multiple concurrent projects. This role requires deep understanding of quantitative model testing, integration testing, and cloud-based application testing, working closely with developers, quants, and business users to ensure all deliverables are reliable, performant, and production-ready.

The QA Automation Lead will work as part of the Core Services group at Burford and will be contributing on a variety of data and software projects, interacting with the firm’s wide range of evolving set of tools and platforms. The person will be responsible for producing the firm’s internal testing tools and platforms, collaborating with the Head of Software, Head of Data Management, developers, business analyst, business stakeholders, and vendors to design and execute solutions that are aligned with company goals and priorities. The ideal candidate will be an energetic, “can do” individual, willing to share his/her/their expertise with others, dig in deep and do whatever is needed to accomplish results.

The role will report to the Head of Software Engineering and will be based out of the Singapore office.

 www.burfordcapital.com

COMPANY OVERVIEW

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 150 people today, including over 45 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 is an “always on” environment in which everyone needs to be accessible by email when outside the office, including during evenings and weekends

Burford pays base salaries consistent with the financial services industry and favors incentive compensation to reward performance. 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.

POSITION REQUIREMENTS

Key Responsibilities

• Automation Strategy & Frameworks: Design and implement scalable automated testing frameworks covering smoke, regression, integration, and performance testing across multiple financial models and systems.
• Quant Model Validation: Develop and maintain automated testing scripts for quantitative models, ensuring numerical consistency, reproducibility, and compliance with validation standards.
• Test Tooling & Scripting: Build, maintain, and optimize automated test suits using Python, PyTest, Selenium, Robot Framework, or equivalent tools. Integrate with CI/CD pipelines for continuous validation.
• Test Planning & Execution: Define comprehensive test plans, test cases, and coverage metrics for new features, bug fixes, and infrastructure updates.
• Collaboration with Development Teams: Partner closely with developers and modelers to understand changes, define acceptance criteria, and ensure automated tests are incorporated early in the SDLC.
• Continuous Integration & Cloud Testing: Develop automated regression pipelines integrated with Azure DevOps, AWS or similar CI/CD systems. Familiarity with Dockerized or cloud-native testing environments required.
• Data & API Testing: Validate large-scale data flows, API endpoints, and SQL/Postgres/Snowflake integrations to ensure data consistency and system reliability.
• Test Reporting & Quality Metrics: Produce clear, actionable test results and dashboards. Identify trends, gaps and improvement opportunities in release readiness.
• Governance & Best Practices: Establish testing standards, reusable frameworks, and version control for automated test assets. Promote a culture of continuous improvement and quality engineering excellence.

Required Skills & Experience

• Automation Tools: PyTest, Selenium, Robot Framework, Cypress, or equivalent.
• Scripting Languages: Advanced Python proficiency required; exposure to Bash/PowerShell a plus
• Databases: SQL proficiency with PostgreSQL, Snowflake, or SQL Server.
• Cloud Platforms: Experience testing in Azure or AWS environments
• CI/CD Pipelines: Hands-on experience with Azure DevOps, GitHub Actions, or Jenkins for automated test orchestration
• API Testing: Postman, REST Assured, or equivalent for validating RESTful endpoints
• Quant Model Testing: Familiarity with model output validation, Monte Carlo Simulation comparisons, and numerical precision testing
• Version Control: Git and branching workflows
• Testing Methodologies: Strong understanding of smoke, regression, functional, integration and performance testing strategies.
• Security & Compliance Testing: Exposure to validation practices in regulated financial environments.

Preferred Attributes

• 8-12 years of QA/Testing experience with at least 5 years in automated test design within financial or quantitative systems
• Strong analytical thinker with ability to interpret numerical model outputs and detect anomalies
• Excellent communicator with proven ability to work across global, cross-functional teams
• Proactive, independent contributor with strong ownership and attention to detail
• Experience supporting multiple concurrent projects in high-stakes financial environments
• Bachelor’s or master’s degree in computer science, Engineering, or a quantitative discipline preferred.

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