We are seeking a highly skilled Automated Test Engineer with hands-on experience in Python Testing with Selenium. The ideal candidate will have a strong background in application support and a solid understanding of business processes within a fast-paced, technology-driven environment. . If you are keen to apply for the role, please share your updated resume to [Confidential Information]
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
With regards to money, they are willing to pay market rate for the right candidate.
Overview
We're seeking 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.
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.
