Quantitative Researcher DeFi and Yield Strategies

Glow Beauty On Demand

Core Duties

• Research and design algorithmic yield strategies using leverage, protocol stacking, and dynamic rebalancing.
• Quantitatively assess systemic and protocol-specific risks including liquidity depth, smart contract vulnerabilities, and oracle dependencies.
• Build probabilistic models to evaluate risk, Value at Risk (VaR), and tail events using simulations such as Monte Carlo.
• Conduct stress testing under extreme market conditions including stablecoin depegs and flash loan attacks.
• Collaborate with engineers to productionize strategies, automate rebalancing, and integrate risk controls into vault infrastructure.
• Ensure strategies are securely deployed on-chain with efficient execution and robust safety checks.

Ideal Profile

• Bachelor s or Master s degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering.
• 2 4 years experience in quantitative research, trading, or risk modeling, preferably within crypto, DeFi, fintech, or traditional finance.
• Proficiency in Python and libraries such as pandas, numpy, scipy, and statsmodels.
• Experience with financial forecasting, portfolio optimization, and risk simulation.
• Knowledge of Monte Carlo simulations, statistical backtesting, and time-series modeling.
• Solid understanding of DeFi concepts including AMMs, lending protocols, stablecoins, staking, and vaults.

Why Join Us

• Competitive salary package with option for crypto payments.
• Work remotely with reimbursement for equipment and co-working spaces.
• Access to wellness and mental health support programs.
• Professional growth opportunities including education sponsorship and conferences.
• Collaborative and innovation-driven culture in a leading global staking provider.