Jobs at Algoquant

Research and deploy systematic DeFi trading strategies using on-chain signals, protocol mechanics, tokenomics, liquidity flows, MEV, funding rates, and cross-protocol arbitrage. Responsibilities include backtesting with gas and slippage constraints, collaborating on live deployment, monitoring performance, and contributing to on-chain data infrastructure. The role requires strong mathematical or scientific training, Python, deep DeFi expertise, statistical rigor, and independent research capability.

Lead end-to-end research applying advanced ML/DL (transformers, GNNs, RL, ensembles) to generate alpha across digital asset markets, build production-grade pipelines, prevent leakage/overfitting, analyze microstructure and on-chain data, and mentor junior researchers.

Design, test, and deploy systematic trading strategies across digital asset markets. Generate and validate hypotheses, run rigorous backtests, build and maintain live alpha signals and execution models, analyze microstructure and order flow, collaborate with engineers to move research to production, and monitor and iterate on live strategy performance.

Develop and deploy options pricing and execution models for digital asset derivatives. Research volatility dynamics and microstructure, build backtests handling path dependency and costs, design hedging and delta management, collaborate with engineers to move strategies into live infrastructure, and monitor real-time Greeks and P&L to iterate on models.