Quantitative Research Graduate — Risk Modelling

Team: Open Funds | Type: Full-time contributor | Duration: Indefinite What you will do - Build simulation frameworks to stress test onchain strategies under adverse conditions: depegs, oracle failures, liquidity crunches, cascading liquidations - Model concentration risk, counterparty exposure, and correlation dynamics across the portfolio - Analyse historical onchain data to validate risk assumptions and calibrate model parameters - Produce quantitative risk reports that inform vault construction and rebalancing decisions - Model and backtest a basket of AMM positions: LP construction, fee optimisation, impermanent loss dynamics, rebalancing strategies across concentrated and full-range liquidity - Work with live protocols (Morpho, Gearbox, Aave, Uniswap, Balancer) and real capital, not academic datasets What we are looking for - Graduate or recent graduate (Bachelor's degree) in economics & finance, natural sciences (biology, chemistry, physics, biotech), mathematics / statistics, or another quantitative discipline - Analytical and critical thinker with a research mindset; a self-starter and autodidact. Programming experience (e.g. Python, NumPy, SciPy, pandas) is a plus - Ability to translate a complex system into a tractable model and reason about where the model breaks - Comfort with probability, stochastic processes, and statistical inference - Knowledge of financial instruments (e.g. options, perpetual trading) - Interest in DeFi and onchain markets. Familiarity with AMM mechanics (Uniswap v3/v4, concentrated liquidity) is a strong plus - Prior DeFi exposure is not required if the quantitative foundation is strong Apply here 👉 Quantitative Research Graduate — Risk Modelling