Design and implement stress testing frameworks to assess portfolio and protocol resilience under adverse market conditions
Develop and backtest predictive models using historical on-chain and market data
Run Monte Carlo simulations and other stochastic methods (e.g., Quasi-Monte Carlo, bootstrapping) and scenario analyses to quantify tail risks and expected loss distributions
Conduct time series analysis to identify structural patterns, volatility regimes, and correlation dynamics across digital asset markets
Build quantitative assessment frameworks for crypto-backed loan products, with a focus on ETH, SOL and BTC collateral
Model liquidation risk, collateral volatility, and loan-to-value (LTV) dynamics under stressed conditions
Support methodology development and establish ongoing monitoring processes for collateral health and margin adequacy
Develop quantitative approaches to evaluate RWA vaults, including credit quality, liquidity profiles, and concentration risk
Produce in-depth quantitative research and market analysis for external publication (e.g., stablecoin assessments, DeFi risk reports)
Quantify risks embedded in DeFi protocol mechanics, including liquidity pool dynamics, oracle dependencies, and governance attack vectors
Independently validate and back-test Particula's existing risk models to ensure accuracy, consistency, and freedom from bias

Strong foundation in quantitative finance, statistics, or financial engineering
Hands-on experience with Python (pandas, NumPy, SciPy, statsmodels) and/or R
Familiarity with DeFi mechanisms, tokenomics, and crypto market microstructure
Experience with credit risk, collateral modelling, or structured products is a strong plus
Excellent written communication skills
able to author rigorous, publication-ready research
Self-driven, intellectually curious, and comfortable operating in a fast-moving environment.

Offsites with the team in exciting locations
Flexible working hours in a company that relies on remote work
Exciting product in a very dynamic market environment
Values-based start-up culture
Many opportunities to develop further and network with committed people
Flat hierarchy
Cash salary: gross annual salary & potential share options for outstanding performance

Senior Quantitative Risk Analyst – Digital Assets

Key skills