QA Automation Lead

Volt Service Corporation Pte Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A financial technology company in Singapore is seeking an experienced Automated Test Engineer / QA Automation Lead to design, develop, and maintain automated testing frameworks for complex financial applications. Candidates should possess 8-12 years of experience within Wall Street environments, specialize in automated test design, and have proficiency in Python and automation tools like PyTest and Selenium. The role demands the ability to work on multiple concurrent projects and ensure deliverables are reliable and production-ready.

Qualifications

• 8-10+ years of QA/Testing experience, with 5+ years in automated test design.
• Expertise in testing within financial/quantitative systems.
• Experience in cloud platforms such as Azure or AWS.

Responsibilities

• Design, develop, and maintain automated testing frameworks.
• Implement robust automated testing strategies for data-driven financial applications.
• Collaborate with cross-functional teams to ensure reliability and performance.

Skills

Automated test design

Python proficiency

Regression testing

Integration testing

API Testing

Analytical skills

Education

Bachelor's or master's degree in computer science, Engineering, or a quantitative discipline

Tools

PyTest

Selenium

Postman

Azure DevOps

Job description

8-10+ years of QA/Testing experience, with at least 5 of those years in automated test design within financial or quantitative systems; Needs to come out of an Investment Bank (not retail bank with experience supporting multiple concurrent projects

Candidates must have at least a Bachelors degree; Ideally not looking for someone who's jumped around a lot.Ideally needs to show stability throughout their career

We're seeking a highly experienced and detail-orientedAutomated Test Engineer / QA Automation Leadto 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.

Required Skills & Experience

Automation Tools:PyTest, Selenium, Robot Framework, Cypress, or equivalent.

ing 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 ofsmoke, regression, functional, integration and performancetesting 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 inautomated test designwithinfinancial or quantitativesystems

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 supportingmultiple concurrent projectsin high-stakes financial environments

Bachelor's or master's degree in computer science, Engineering, or a quantitative discipline preferred.