Algo Trading Quant

## 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.** Apply tot his job