Quant Research Engineer New Grad
## 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
β’ *The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles β donβt miss your chance to be part of it.**
Apply Now
Apply Now
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
β’ *The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles β donβt miss your chance to be part of it.**
Apply Now
Apply Now