QA Lead

TALENT LEGAL GLOBAL SEARCH CONSULTANCY (PTE.) LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading consultancy firm in Singapore is looking for an experienced automation testing professional. You will design and implement automated testing frameworks for quantitative financial models, ensuring quality and compliance. The ideal candidate should have strong proficiency in Python, experience with CI/CD tools like Azure DevOps, and a solid understanding of various testing methodologies. A collaborative spirit and a focus on quality improvement are essential for success in this role.

Qualifications

• Advanced Python proficiency required with experience in automation tools.
• Hands-on experience with CI/CD pipelines and cloud platforms like Azure or AWS.
• Familiarity with validation practices in regulated environments.

Responsibilities

• Design and implement scalable automated testing frameworks.
• Develop and maintain automated testing scripts for quantitative models.
• Define comprehensive test plans and collaborate with developers.

Skills

Automated testing frameworks

Python

Selenium

SQL

Azure DevOps

Tools

PyTest

Robot Framework

Postman

Job description

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.