Jobs at Deeter Analytics

Conduct quantitative research for traders by testing market hypotheses, building and maintaining documented signals, performing event studies and backtests, and validating results against leakage, survivorship bias, transaction costs, and regime dependence. Organize reproducible point-in-time datasets, communicate findings clearly, track signal performance, and use AI tools to accelerate research and coding while verifying outputs.

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

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.

Lead end-to-end development and live deployment of AI-driven mid-frequency trading strategies: hypothesis generation, signal research, backtesting, production pipeline, execution, P&L attribution, and building a small high-caliber team.

Build and deploy deep-learning models for financial market data, owning the full workflow from raw data and experiments through daily production inference. Responsibilities include managing small-scale GPU infrastructure, conducting leakage-proof and regime-aware evaluations, reproducing research, reading recent AI literature, and communicating findings. The role requires strong ML fundamentals, Python and PyTorch expertise, hands-on infrastructure skills, rigorous experimentation, and self-directed remote work. Trading experience is not required.

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.

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

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.

Provide pre-market summaries, maintain earnings and event calendars, deliver intraday checkpoint notes, manage watchlists/screens/alerts, perform fast ad-hoc data pulls and fact-checks, and use modern AI tools to scale monitoring and summarization for a live trading desk.