Note: The job is a remote job and is open to candidates in USA. Unlok is building an AI-powered market intelligence platform that transforms real-time market data into actionable investment insights. The Market Intelligence Analyst role involves designing AI workflows, building RAG systems, integrating financial data, and analyzing options market activity to support investment decisions. The position offers opportunities for full-time, part-time, or internship engagements, focusing on hands-on work with AI and quantitative finance.
Responsibilities
- 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
Skills
- 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
- 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 working with financial APIs, market data, or streaming data
- Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, etc.)
- Experience with LangChain, LlamaIndex, 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
Benefits
- Flexible remote work environment with opportunities to convert high-performing interns or part-time team members into full-time roles
Company Overview