About the project

Join a strategic and high-impact initiative focused on transforming the Loan Analytics platform for one of the world's leading financial institutions. The program leverages modern technologies and automation to optimize risk forecasting, portfolio analytics, and financing systems. You'll work closely with global teams on a system that powers decision-making in the financial markets—from underwriting to real-time monitoring.

About the team

You'll be part of a cross-functional, international team operating at the intersection of finance and technology. The team includes senior engineers, business analysts, product owners, and QA specialists working on cutting-edge solutions in capital markets and risk technology. This is a fast-paced, collaborative environment where innovation and ownership are highly valued.

Design, develop, and maintain scalable test automation frameworks using Java, Cucumber, Selenium, and GenAI/LLM-based solutions.

Automate end-to-end, integration, functional, regression, and API tests to ensure quality of trading and risk management platforms.

Leverage Generative AI tools and LLM-driven frameworks to optimize test coverage, generate smart test cases, and validate AI-powered applications.

Collaborate with business analysts, developers, and quants to validate requirements and ensure compliance with trade lifecycle and regulatory standards (EMIR, Dodd-Frank, FRTB).

Integrate automated test suites into CI/CD pipelines (Jenkins, Maven, Gradle) for continuous testing and rapid feedback.

Perform performance, scalability, and reliability testing using JMeter, SoapUI, and custom automation scripts.

Test and validate messaging middleware flows across Kafka, IBM MQ, ActiveMQ, and TIBCO EMS for trading and risk systems.

Develop and execute SQL queries and Unix scripts for backend validation, data quality checks, and issue investigation.

Monitor and evaluate GenAI/LLM outputs to detect inaccuracies, hallucinations, and security vulnerabilities such as prompt injection.

Provide clear defect reporting, documentation, and communication across global teams while mentoring junior QA engineers and promoting testing best practices.