Particula
11 - 50 employees
Founded 2022
💸 Finance
💳 Fintech
🔐 Security
Finance • Fintech • Security
Particula is a company specializing in risk assessment and data analytics solutions for digital assets. It provides tools such as Particula Token Identification Number (PTIN) and Particula Digital Asset Classification System (PDACS) to enhance transparency and standardization in the tokenized asset market. With a comprehensive approach to evaluating tokenized assets, Particula aims to assist investors, banks, and asset managers in making informed decisions about digital securities.
Senior Quantitative Risk Analyst – Digital Assets
🕒 June 16
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Particula
11 - 50 employees
Founded 2022
💸 Finance
💳 Fintech
🔐 Security
Finance • Fintech • Security
Particula is a company specializing in risk assessment and data analytics solutions for digital assets. It provides tools such as Particula Token Identification Number (PTIN) and Particula Digital Asset Classification System (PDACS) to enhance transparency and standardization in the tokenized asset market. With a comprehensive approach to evaluating tokenized assets, Particula aims to assist investors, banks, and asset managers in making informed decisions about digital securities.
📋 Description
• 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
🎯 Requirements
• 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.
🏖️ Benefits
• 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
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