Quant Trader_Up to 3m

About the role

We are seeking a highly motivated Quant Trader to join our systematic trading team focused on Trend Following and CTA strategies across crypto and tokenized equity markets. The successful candidate will be responsible for researching, implementing, monitoring, and enhancing systematic trading strategies, while working closely with portfolio managers and researchers to drive trading performance. This is an opportunity to work in a fast-paced, entrepreneurial environment with direct exposure to live trading, quantitative research, portfolio construction, and risk management.

Key responsibilities

• Research, develop, and improve systematic trading strategies focusing on Time-Series Momentum (TSMOM), Trend Following, Breakout Strategies, and Cross-sectional and relative-value signals
• Generate and validate alpha signals through rigorous statistical analysis and backtesting
• Conduct performance attribution and identify opportunities for strategy enhancement
• Monitor and manage live systematic portfolios across crypto and tokenized US equity markets
• Execute trades efficiently and oversee order placement through automated execution systems
• Monitor market conditions, liquidity, transaction costs, slippage, funding rates, and basis dynamics
• Work closely with technology and execution teams to optimize trading infrastructure and execution quality
• Assist in portfolio construction using volatility-targeting and risk-adjusted allocation techniques
• Monitor portfolio exposure, leverage, drawdowns, and factor concentration
• Conduct stress testing, scenario analysis, and risk attribution

About you

• 3-8+ years of experience in quantitative trading, systematic trading, quantitative research, or CTA investing
• Experience at a hedge fund, proprietary trading firm, asset manager, market maker, or crypto trading platform
• Demonstrated experience working with live trading strategies and real-money portfolios
• Experience in crypto, futures, equities, ETFs, or multi-asset systematic trading
• Strong programming skills in Python
• Experience with C++, Rust, Java, or similar languages
• Proficiency in quantitative research, backtesting, and statistical analysis
• Familiarity with cloud computing, databases, and trading infrastructure
• Strong background in Mathematics, Statistics, Probability, Econometrics, and Machine Learning
• Bachelor's, Master's, or PhD in Quantitative Finance, Mathematics, Statistics, Computer Science, Physics, Engineering, or related quantitative disciplines