Market Intelligence Analyst; AI​/Quant Research NYC

About the Role

We’re building an AI-powered market intelligence platform that transforms real-time market data, news, filings, and options signals into actionable investment insights.

We’re hiring full-time employees, part-time employees, and interns who are passionate about financial markets, AI, and quantitative research. Whether you’re an experienced professional or a student looking to gain hands-on experience, you’ll work directly on production systems—not just analyze dashboards built by others.

• Design and refine AI prompts and workflows that transform raw market data, news, and filings into structured, defensible market insights
• Build and improve Retrieval-Augmented Generation (RAG) systems over financial news, SEC filings, earnings transcripts, and historical market commentary
• Integrate real-time and near-real-time financial data, including equities, ETFs, options chains, and macroeconomic releases
• Analyze options market activity, including implied volatility, Greeks, open interest, skew, and unusual flow, to identify meaningful positioning shifts
• Develop and maintain knowledge bases and vector databases that continuously update as new information becomes available
• Evaluate the accuracy and usefulness of AI-generated insights and continuously improve prompts, retrieval quality, and data pipelines
• Collaborate closely with engineering, AI, and product teams to build tools used by investors and traders

• Strong interest in financial markets and investing
• Solid understanding of options markets, including Greeks, implied volatility, open interest, and options pricing fundamentals
• Experience with Python and data analysis
• Familiarity with LLM prompt engineering; experience building RAG applications is a strong plus
• Experience working with financial APIs, market data, or streaming data is preferred
• Comfortable working independently in a fast-paced startup environment
• Currently pursuing or recently completed an ADVANCED degree in Finance, Computer Science, Data Science, Mathematics, Engineering, or a related field (for internship applicants)

• Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, etc.)
• Experience with Lang Chain, Llama Index, OpenAI APIs, Anthropic APIs, or similar AI frameworks
• Knowledge of SEC filings, earnings analysis, macroeconomics, or quantitative investing
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Personal investing, trading, or quantitative research projects

• Build AI products that are deployed in production and used by real investors
• Work directly with experienced professionals in quantitative finance and AI
• Gain hands-on experience with LLMs, RAG systems, financial data engineering, and options analytics
• Flexible remote work environment with opportunities to convert high-performing interns or part-time team members into full-time roles