Hi, we are Particula, the leading rating provider for digital assets! Our mission? To make the market for digital assets more accessible, secure and transparent for institutional investors.
We support issuers, trading facilities, banks and asset managers to create trust, minimize risks and allocate capital effectively.
Join our team and shape the future of the financial world with us! 👋.
This role sits at the intersection of financial engineering, crypto-native risk, and institutional-grade research, contributing directly to the models and frameworks that power Particula's proprietary risk ratings (PDARF) and the Particula Digital Asset Risk Passport (PDARP).
You will collaborate with cross-functional teams to ensure our methodologies remain at the forefront of industry standards and deliver actionable insights to our clients.
The ideal candidate (m/f/d) would have a minimum of 5+ years of proven experience in our or similar industry.
Tasks Risk Modelling & Quantitative Research 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.
, 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 Crypto-Backed Lending & Collateral Risk 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 moni.