Senior Quant – DeFi

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October 22

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ChainML

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Artificial Intelligence • API • Web 3

ChainML is an AI research and development company focused on building production-grade AI agents and conversational analytics platforms. It created Council Analytics, a generative AI-powered talk-to-data API for secure, natural-language analytics integration, and maintains Council, an open-source framework for deploying reliable, scalable AI agents. ChainML is also developing a Web3-enabled protocol to decentralize execution and monetization of AI agents, emphasizing micropayments, account abstraction, and fair access for creators and users.

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🔌 API

🌐 Web 3

📋 Description

• Design, test, and deploy production-grade DeFi strategies • Lead research team and build models, run simulations, and translate ideas into strategies • Maintain a hypothesis pipeline across LP/CLMM, perps/options, basis/funding, lending/borrowing, yield curves, and cross-venue/cross-chain flows • Build and run robust backtests and event-driven sims; define objective functions, capacity, and sensitivity analyses • Write execution-ready strategy specs and prototype production code • Set inventory/leverage limits, liquidity/impact budgets, and encode checks and circuit breakers • Define real-time and post-trade dashboards and establish thresholds • Express strategies as agent policies/reward functions and contribute datasets • Track microstructures, new primitives, and cultivate relationships for early access • Produce research memos, runbooks, and present results to stakeholders

🎯 Requirements

• Proven, verifiable DeFi P&L (e.g., CLMM LP with hedging, basis/funding, structured yield) with transparent attribution • Deep understanding of on-chain microstructure: AMMs (Uniswap v3/CLMM math), routing/MEV, oracles, gas/latency, L2 nuances • Strong empirical research skills: clean experiment design, skeptical inference, robustness checks, and ablations • Hands-on with Python + SQL for implementing strategies, backtests and data analysis; able to work with EVM logs/events and data from sources like The Graph, Dune, BigQuery or self-hosted archives • Practical risk mindset: position sizing, drawdown/tail-risk control, borrow/funding management, execution slippage/impact awareness • Ability to write concise, execution-ready specs and collaborate tightly with engineers who will implement and operate • Read-level Solidity literacy (to assess contracts, oracles, upgrade patterns); no heavy smart-contract dev required • Bonus: experience with agent/RL evaluation loops; MEV-aware execution; LST/LRT, Pendle curves, cross-margining, vault frameworks • Thrives in a fast-moving startup, embraces ambiguity, and upholds high standards for reproducibility, documentation, and ethics

🏖️ Benefits

• Remote-first team • Exceptional candidates from anywhere encouraged to apply