Quantitative AI Developer — Political & Market Intelligence System

Role Overview

Join our innovative hedge fund as a Quantitative AI Developer. You will play a pivotal role in creating a cutting-edge data-driven political intelligence engine. This system analyzes U.S. politicians' stock trades, identifies potential insider-like behavior, and generates actionable trading signals and content for institutional investors.

Responsibilities

• Architect and implement an agentic pipeline using OpenAI AgentKit or similar frameworks.
• Integrate diverse financial, political, and news data sources, including EDGAR, Yahoo Finance, and OpenSecrets.
• Design a numeric scoring system that evaluates trades based on factors like committee relevance, event timing, and financial ties.
• Develop a quantitative engine to transform raw data into actionable trading signals, including an Insider Conviction Score and options strategy recommendations.
• Create a summarization and writing layer to auto-generate articles that summarize trades and provide rationale and recommendations.
• Deliver structured outputs and dashboards to present findings in a clear and accessible format.

Required Skills

• Proficiency with OpenAI API, AgentKit, LangChain, or LlamaIndex.
• Strong programming skills in Python or TypeScript.
• Experience in quantitative finance or financial data engineering.
• Familiarity with options strategies and Greeks-based analysis.
• Expertise in API integration and data pipeline design.
• Ability to build structured scoring models and generate automated reports using LLMs.

Nice to Have

• Experience in hedge-fund data infrastructure or AI safety guardrails.
• Background in event-driven trading or market intelligence systems.