QA Lead

TALENT LEGAL GLOBAL SEARCH CONSULTANCY (PTE.) LTD.; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A leading financial technology consultancy in Singapore is looking for an Automation Engineer. The ideal candidate will design automated testing frameworks and collaborate with developers on validation processes. Requirements include advanced Python skills, experience with tools like PyTest and Selenium, and familiarity with CI/CD pipelines in Azure or AWS environments. This role offers the opportunity to work on critical financial models and ensure system reliability through automated testing strategies.

Qualifications

• Advanced proficiency in Python with experience in automation tools.
• Understanding of CI/CD practices with tools like Azure DevOps or Jenkins.
• Familiarity with API testing and validation in financial applications.

Responsibilities

• Design and implement scalable automated testing frameworks.
• Develop automated testing scripts for quantitative model validation.
• Collaborate with developers to ensure early incorporation of automated tests.

Skills

PyTest

Selenium

Robot Framework

Python

SQL

Tools

Azure DevOps

Docker

PostgreSQL

Snowflake

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.