Senior Consultant Capital Markets QA & GenAI

Location: New York, NY Onsite preferred; Remote option available for strong candidates
Duration: 12+ Months
Experience: 8+ Years

Job Summary

We are seeking an experienced Senior Consultant with strong expertise in Capital Markets testing, test automation, SQL, and Generative AI. The ideal candidate will perform functional and automation testing for financial applications, validate market and reference data, and leverage AI-powered technologies to improve quality engineering and test automation processes.

Key Responsibilities

• Perform functional and automation testing for Capital Markets applications, ensuring quality, reliability, and performance.

• Develop and maintain test automation frameworks using Java or Python with Selenium.

• Execute regression, API, integration, and end-to-end testing.

• Work with index methodologies, benchmark indices, capital markets data, and financial applications.

• Validate index calculations, market data, reference data, pricing data, and benchmark-related applications.

• Perform data validation using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity.

• Test high-volume, low-latency, real-time data platforms within Financial Services environments.

• Leverage AI-powered testing tools and GenAI/Agentic AI assistants to improve test design, automation, defect analysis, root-cause investigation, and overall QE productivity.

• Design, develop, test, or support Retrieval-Augmented Generation (RAG) solutions, AI agents, Agentic AI frameworks, and intelligent automation workflows.

• Apply knowledge of LLM-driven architectures, prompt engineering, and AI orchestration frameworks to practical testing and automation use cases.

• Collaborate with developers, business analysts, data teams, and other stakeholders to identify and resolve quality issues.

• Analyze defects, perform root-cause investigations, and contribute to continuous improvement of testing processes.

Required Skills

1. Selenium with Java or Python Strong hands-on experience developing and maintaining automation frameworks.

2. SQL Strong experience with database validation, data reconciliation, ETL pipelines, and data integrity testing.

3. Generative AI / Agentic AI Hands-on experience with MCP, RAG, AI agents, GenAI tools, and AI-powered test automation.

Additional Qualifications

• 8+ years of experience in Software Quality Engineering, Test Automation, or Software Testing.

• Strong understanding of Capital Markets and Financial Services applications.

• Experience with market data, pricing data, reference data, index calculations, or benchmark-related financial platforms.

• Experience testing high-volume, low-latency, real-time financial data platforms is highly preferred.

• Strong understanding of API testing and automation.

• Experience with CI/CD and modern quality engineering practices is a plus.

• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Domain Experience

• Capital Markets

• Market Data

• Index & Benchmark Calculations

• Pricing & Reference Data

• Financial Services

• Real-Time Data Platforms

• High-Volume / Low-Latency Applications