AI Researcher

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🕒 February 26

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Deeter Analytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

💸 Finance

💳 Fintech

🤝 B2B

Finance • Fintech • B2B

Deeter Analytics is a financial analytics firm that turns complex market data into actionable trading insights for investors and institutions. The company combines quantitative research, advanced analytics, and proprietary technology to help clients identify opportunities, manage risk, and improve trading performance through clear, data-driven recommendations and tools.

📋 Description

• Formulate and pursue original research agendas (reasoning, tool connectivity, robustness, alignment, data/compute efficiency). • Follow Ideas to PoC to MVP to training to validation, owning all steps of the process with deep collaboration with Research Engineers (see other open role). • Build rigorous evaluation suites through simulated environments and real time evaluation. • Prototype fast with real data; partner with Research Engineers to take promising ideas to production.

🎯 Requirements

• Are a self-starter who thrives on coding autonomy and project collaboration within small-team, high velocity environments. • Have strong ML research chops (theory and practice), and write clean, reproducible code (e.g. PyTorch/JAX). • Think in systems: data quality, scaling laws, evaluation, and deployment constraints - not just model internals. • Prefer clear principles, low ego and prefer collaboration over titles and politics. • Helpful backgrounds (any of the following) • - Frontier labs experience (e.g., Anthropic, OpenAI, DeepMind); or • - Novel discovery through published work (NeurIPS/ICML/ICLR); or • - Led research in an applied setting (startups, open-source, or products at scale); or • - Standout independent achievement (notable OSS, benchmarks, or widely used methods).

🏖️ Benefits

• A well-funded trading firm expanding into AI research - your ideas set direction and standards. • Real ownership from hypothesis to deployment. • Competitive base with meaningful upside tied to research impact. • A culture optimized for deep work, fast learning, and doing the right thing.