Capital Market QA Automation New York
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AI Summary
The consultant will perform functional and automation testing for capital markets applications, including validating complex financial data and index calculations. They will also leverage GenAI and Agentic AI to enhance test design, automation workflows, and root-cause analysis.
W2 Role:
Hiring: Senior Consultant – Capital Markets QA / Automation
Location: New York, NY – Onsite
Remote: Remote option available for exceptionally strong candidates.
Duration: 12+ Months
Remote: Remote option available for exceptionally strong candidates.
Duration: 12+ Months
We are looking for a Senior Consultant with strong experience in Capital Markets testing, test automation, data validation, and GenAI/Agentic AI.
Top 3 Must-Have Skills
1️⃣ Selenium + Java or Python – Strong automation framework development
2️⃣ SQL – Database, ETL, data validation and reconciliation
3️⃣ GenAI / Agentic AI – MCP, RAG, AI-powered test automation and AI tools
2️⃣ SQL – Database, ETL, data validation and reconciliation
3️⃣ GenAI / Agentic AI – MCP, RAG, AI-powered test automation and AI tools
Key Responsibilities
• Perform functional and automation testing for Capital Markets applications
• Validate index calculations, benchmark indices, market data and reference data
• Develop and maintain automation frameworks using Java or Python
• Perform regression, API and end-to-end testing
• Use SQL to validate databases, ETL pipelines and data services
• Test high-volume, low-latency and real-time financial data platforms
• Leverage GenAI and Agentic AI to improve test design, automation, defect analysis and root-cause investigation
• Design, develop, test or support RAG solutions, AI agents and intelligent automation workflows
• Work with LLM architectures, prompt engineering and AI orchestration frameworks
• Validate index calculations, benchmark indices, market data and reference data
• Develop and maintain automation frameworks using Java or Python
• Perform regression, API and end-to-end testing
• Use SQL to validate databases, ETL pipelines and data services
• Test high-volume, low-latency and real-time financial data platforms
• Leverage GenAI and Agentic AI to improve test design, automation, defect analysis and root-cause investigation
• Design, develop, test or support RAG solutions, AI agents and intelligent automation workflows
• Work with LLM architectures, prompt engineering and AI orchestration frameworks
⭐ Preferred Background
Candidates with experience in Capital Markets, Market Data, Index Calculation, Pricing Data, Reference Data, Benchmarking or Financial Services applications are highly preferred.
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