Responsibilities

📍Transform mathematical models into production code that powers live trading strategies 📍Build and optimize vault strategies across multiple asset types (stablecoins, ETH/BTC, restaking tokens, real-world assets) 📍Conduct comprehensive risk assessment using statistical methods to evaluate liquidity risk, token depeg scenarios, insolvency risk, and interest rate exposure 📍Design and run controlled experiments to measure strategy performance, including profit/loss analysis, maximum drawdowns, and stress testing 📍Build data pipelines for strategy simulation, real-time monitoring, and automated trade execution 📍Create monitoring systems with dashboards and alerts to track market changes, protocol updates, and smart contract events 📍Develop allocation recommendations with appropriate risk guardrails and rebalancing triggers 📍Write clear research documentation explaining strategy assumptions, trade-offs, and risk management approaches 📍Collaborate on public research and internal strategy memos

Qualifications

📍Currently pursuing Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or related quantitative field with expected 2026 graduation date 📍Strong programming abilities in Python (experience with SQL, TypeScript, or Rust is a plus) with solid foundation in algorithms and data structures 📍Statistical and mathematical knowledge including probability, statistics, optimization, and time-series analysis 📍Understanding of financial risk concepts such as Value-at-Risk (VaR), 📍Conditional Value-at-Risk (CVaR), portfolio optimization, leverage mechanics, and automated market maker (AMM) mathematics 📍Strong communication skills and ability to collaborate effectively in code reviews and strategy discussions

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