Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues.
As a Test Automation Engineer in our financial services technology team, you will oversee all technology components of diverse and complex automation projects, leveraging AI/LLM-assisted planning and execution to expedite deliverables while ensuring timing, functionality, quality, and control compliance.
Job Responsibilities
- Oversee all technology components of diverse and complex automation projects, leveraging AI/LLM-assisted planning and execution (e.g., accelerating test design, code generation, triage, and documentation) to expedite deliverables while ensuring timing, functionality, quality, and control compliance.
- Communicate with end-users to provide timely and accurate information and status updates.
- Contribute to the formulation of strategies for project leadership and other functional areas.
- Produce metrics, KPIs, and analyses to assist the team in making data-driven automation decisions.
- Design and implement effective solutions to automate, capture, collate, store, and maintain real-time test data for validation, progress measurement, and performance in change delivery.
- Define and implement data validation approaches to ensure compliance with internal and external regulations and standards, monitoring data integrity, standards, and consistency through iterative testing, especially when integrating new features.
- Manage datasets for automation testing and those provided or used by vendors.
- Lead the automation testing effort on a day-to-day basis, using AI tools to accelerate execution, defect triage, root-cause analysis, and regression prioritization.
- Identify opportunities for testing automation and synergies within the project, using AI-driven assessment to recommend high-ROI candidates and reduce duplicate effort.
- Ensure adherence to firm-wide standards, controls, and governance of intelligent automation solutions, including responsible AI usage (validation of outputs, traceability, and secure handling of test data).
Required qualifications, capabilities and skills
- Bachelor’s or higher degree with 8+ years’ experience in test design, execution, and management within the financial services industry.
- Expertise in architecting, developing, and maintaining innovative test automation environments, including automation test framework design and development.
- Java expert with scripting capability in VB and Java and strong hands-on test automation experience designing, developing, and executing automated test scripts using Selenium and BDD frameworks such as Cucumber/Gherkin, along with Groovy.
- AI-Augmented Test Automation Frameworks: Proficiency in AI-powered testing tools to build self-healing test scripts that reduce flakiness and maintenance overhead.
- Prompt Engineering & Generative AI for Test Artifacts: Hands-on experience using LLMs to generate test cases, synthetic data, BDD scenarios, and automation code (Selenium, Playwright, Cypress), with strong prompt engineering skills to validate AI outputs.
- Intelligent Test Analytics & Predictive Quality Insights: Ability to apply AI/ML for risk-based testing, defect prediction, and test suite optimization—prioritizing regression execution and analyzing defect patterns to maximize testing ROI.
- Proficient with CI/CD tools (e.g., Jenkins) and experienced in API testing, including designing, executing, and validating test cases to ensure robust integration and functionality.
- Strong expertise in Agile project delivery methodology and adaptability to evolving methodologies, with experience integrating with applications deployed on AWS Cloud and knowledge of HTML5, AngularJS, and ReactJS UI
Preferred qualifications, capabilities and skills:
- Python as an added advantage