Senior Quantitative Risk Analyst (Digital Assets)

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.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

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 monitoring processes for collateral health and margin adequacy

Real-World Asset (RWA) Vault Assessment

Develop quantitative approaches to evaluate RWA vaults, including credit quality, liquidity profiles, and concentration risk

• Contribute to Particula's expanding RWA methodology, ensuring frameworks are rigorous, scalable, and market-relevant

• Collaborate with the methodology team to integrate RWA risk factors into the broader PDARF framework

Research, Publications & Thought Leadership

Produce in-depth quantitative research and market analysis for external publication (e.g., stablecoin assessments, DeFi risk reports)

• Translate complex modelling outputs into clear, institutional-quality insights for a broad audience

• Represent Particula's analytical expertise through white papers, reports, and industry commentary

Protocol & Smart Contract Risk Quantification

Quantify risks embedded in DeFi protocol mechanics, including liquidity pool dynamics, oracle dependencies, and governance attack vectors

• Build scoring models that incorporate on-chain data (TVL, utilization rates, slippage) into risk assessments

Market & Liquidity Risk Monitoring

Develop real-time or near-real-time risk dashboards and alert systems for market risk indicators (volatility spikes, liquidity crunches, de-peg events)

• Monitor cross-asset correlations and systemic risk indicators across the digital asset ecosystem

Rating Model Validation & Calibration

Independently validate and back-test Particula's existing risk models to ensure accuracy, consistency, and freedom from bias

• Calibrate rating thresholds and weighting schemes using empirical data, ensuring PDARF ratings remain statistically grounded

Data Infrastructure & Tooling

Work with on-chain and off-chain data sources to build robust, reproducible analytical pipelines

• Contribute to the development of internal quantitative tooling used across methodology and research teams

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