Jobs at Deeter Analytics

Lead and build a high-performance research operation that extracts early, high-signal insights across public/private markets, designs real-time information pipelines, originates thematic/trend-driven investment ideas, partners with the Principal to form actionable worldviews, and translates analysis into trading guidance.

Execute daily trades across equities, derivatives, and potentially commodities; monitor real-time portfolio risk and exposures; provide quantitative support to develop data-driven trading ideas; act as the Principal's primary execution and risk oversight partner while maintaining strict discretion.

Design systems to extract sentiment and collective behavior signals from real-time social data for trading decisions, focusing on scaling improvements.

As an AI Infrastructure Engineer, you'll design and optimize training systems on GPU infrastructure, improve training efficiency, and debug high-pressure environments. You'll work with elite engineers to enhance model training capabilities and ensure system efficiency while operating under real-world constraints.

The AI Researcher will develop and prototype advanced AI-driven trading systems, investigate memory representation for reasoning, and improve model capabilities through innovative methods.

This role involves working directly with the founder to manage diverse, high-stakes projects from inception to completion, fostering ownership, and achieving clear outcomes.

Lead AI inference and MLOps strategy for a 7MW AI datacenter, optimizing revenue through model selection, workload management, and marketplace integration.

You will execute trades, analyze market data for strategy development, and monitor portfolio risk, supporting the Founder directly.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

Lead the technical vision and product engineering at Deeter Analytics, focusing on systems architecture, high-velocity execution, and mentoring a small senior team.

Conduct original research in AI for financial applications, focusing on models, evaluation, and collaboration with engineers to turn ideas into production.

As the Data Engineer, you'll build and maintain data pipelines, ensure data quality, collaborate with traders, and uphold security. You'll be responsible for designing cloud-native solutions for algorithmic trading data.

As an AI Research Engineer, you'll design and maintain data pipelines, train models, and work with researchers on innovative solutions.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.