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# nResearch Director, AI Quantitative Modeling

- **Company:** Idc Inc
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $150,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Python (Programming Language), Virtual Agents
- **Published:** September 28, 2026
- **Apply:** https://jobs.military.com/career/350149/research-director-ai-quantitative-modeling-massachusetts-ma-needham

## About the Role

* Advanced quantitative training in mathematics, physics, statistics, operations research, or a closely related discipline, with a strong foundation in probability, statistical inference and numerical methods. \n
 * A track record of independently developing and validating financial, scientific or other quantitative models of complex systems. Experience should demonstrate how models were used to support forecasts, decisions or practical research outcomes. \n
 * Ability to choose and apply appropriate forecasting, simulation or optimization methods, explain their assumptions, and work with incomplete or noisy data without overstating the precision of results. \n
 * Strong scientific programming skills, preferably in Python, and experience translating mathematical ideas into working, testable code. Ability to develop reproducible analyses and work confidently with numerical libraries and structured data. \n
 * Current, regular use of agentic AI tools such as OpenAI Codex, Anthropic Claude Code, or comparable systems in their current role or daily life. Candidates must be able to discuss concrete workflows and explain how they verify generated code and analytical outputs. \n
 * Ability to learn unfamiliar technical and economic domains, challenge assumptions constructively, and work with subject matter experts to connect models with the systems they represent. \n
 * Clear written and verbal communication, including the ability to explain model logic, uncertainty and limitations to colleagues who do not share your mathematical background. \n, * A PhD in mathematics, physics, statistics, operations research, or another relevant quantitative field is strongly preferred. Equivalent depth of research expertise demonstrated through applied work will also be considered. \n
 * Experience in quantitative research or model development at a hedge fund, investment bank, asset manager, or a comparable analytical environment. Relevant backgrounds also include scientific research and industrial modeling. \n
 * Experience developing models of costs, investment returns, productivity or economic impact, or turning research methods into reusable analytical tools. \n
 * Deep prior expertise in the technology industry or a particular customer sector is not required. Intellectual curiosity and the ability to learn the economics and technical characteristics of AI are essential. \n