Responsibilities

📍Utilize mid-frequency alpha signals (ranging from ~1 minute to 1 month) provided by our quantitative researchers to execute trades across multiple asset classes, including but not limited to US Equities, Forex, Cryptocurrencies, and International Equities. 📍Establish and maintain connectivity with different brokerages across different asset classes. 📍Automate records gathering, PnL reporting and trading statistics generation. 📍Build general tooling for traders to leverage

Requirements

📍Proficiency in coding execution systems, with a preference for candidates with Python programming skills. Knowledge of Rust would be an advantage. 📍Experience in algorithmic trade execution within a mid-frequency framework. 📍A basic foundation in statistical principles, including but not limited to correlation analysis, A/B testing, and the capability to perform substantive trading cost analyses. 📍Demonstrated expertise in Portfolio Optimization strategies and practices.