Lead the end-to-end development of an AI-driven mid-frequency trading operation, from hypothesis generation to live P&L. Own the research-to-production pipeline, including signal research, portfolio sizing, and the scaling of a high-caliber team.
Deeter Analytics
7 Remote Job Openings at Deeter Analytics
Work directly with the founder to manage a global portfolio of investments, operating companies, and new ventures. Take full end-to-end ownership of high-stakes, undefined problems to deliver clear decisions and outcomes.
AI Systems Engineer (Agent-Native Development)
Deeter Analytics
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Full Time
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2 months ago
Deeter Analytics
You will define and structure AI-driven systems by creating executable specifications and behavioral scenarios to guide agent implementation. Your role involves managing the full lifecycle of production systems, including validation, monitoring, and rapid iteration to ensure reliable performance.
AI Infrastructure Engineer (Training Systems)
Deeter Analytics
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Full Time
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2 months ago
Deeter Analytics
You will design and operate distributed training systems on GPU infrastructure to maximize model capability and efficiency. This involves optimizing throughput, debugging complex system failures, and translating model requirements into scalable configurations.
The primary responsibility is to build and lead a world-class research operation that consistently generates early, differentiated insight across public and private markets. This involves architecting high-performance teams, designing intelligence pipelines, and partnering with the Principal to shape the firm's worldview.
The role focuses on the precise execution of daily trades across various asset classes, including equities and derivatives, while simultaneously monitoring portfolio risk in real-time. This individual will also provide quantitative support to the Principal in analyzing market themes and developing data-driven trading strategies.
The role involves owning the coherence and simplicity of internal systems, translating trading and research needs into technical decisions, and ensuring high-velocity execution of internal tools. The candidate will guide a small team and maintain architectural clarity as the company scales.
