Key Responsibilities

📍Strategy Design & Research 📍Design and implement predictive quantitative trading models, including both market-making and directional strategies, for automated execution on decentralized perpetual exchanges such as Hyperliquid 📍Apply statistical modeling and research methodology - including regression analysis, time-series forecasting, and machine learning - to identify and validate trading signals across varying time horizons 📍Lead research efforts to discover new alpha sources, optimize strategy parameters through rigorous backtesting, and expand the number of available strategies to support growing user capacity 📍Perform experiment design, dataset generation, feature engineering, and model building on financial datasets, following the full research-to-production pipeline 📍Run simulations and estimate market impact of quantitative models, accounting for realistic assumptions around slippage, fees, funding rates, and liquidity constraints 📍Proactively identify trading opportunities and risks by analyzing historical market data across multiple markets and instruments

Required Qualifications

📍3+ years of professional experience developing and deploying quantitative trading models at a top-tier quantitative trading firm (e.g., Jane Street, Wintermute, Jump Trading, Citadel, Two Sigma, DRW, Tower 📍Research, HRT, or equivalent). Crypto algo trading experience is beneficial but not required 📍Proven track record of building and deploying profitable automated trading strategies in production environments, with real P&L attribution 📍Experience with machine learning applied to trading: feature engineering, model selection, hyperparameter tuning, overfitting mitigation, and deployment of models into production 📍Strong understanding of statistical modeling, time-series analysis, regression techniques, and quantitative research methodologies 📍Solid software engineering practices: version control (Git), automated testing, CI/CD pipelines, and writing production-quality code that others can maintain and extend 📍Experience with full-cycle development: researching, prototyping, writing and debugging code, deploying to production, and monitoring and maintaining live trading systems

If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.