Description

Job Description/ Responsibilities:
• Perform functional and automation testing for Capital Markets ensuring quality, reliability, and performance.
• Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms.
• Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing.
• Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity.
• Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity.
• Demonstrate hands-on experience with GenAI and Agentic AI technologies, including designing, developing, testing, or supporting Retrieval-Augmented Generation (RAG) solutions, AI agents, Agentic AI frameworks, and intelligent automation workflows. Strong understanding of LLM-driven architectures, prompt engineering, orchestration frameworks, and practical implementation of AI-powered solutions is required.
• Work with market data, pricing, reference data, index calculation, or similar financial applications.
• Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred.

What are the top 3 skills required for this role?
1. Selenium/Java or Selenium/Python
2. SQL
3. Gen AI (MCP, RAG, experience with AI tools on Test Automation )
Years of Experience: 8+ Years of Experience

Key Skills

Education

Any Graduate