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Particula

Senior Quantitative Risk Analyst – Digital Assets

Particula

Quantitative Risk Analyst specializing in digital assets at Particula. Contributing to risk methodology and collaborating with cross-functional teams in the financial world.

Posted 6/16/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies
NumpyOraclePandasPython

About the role

Key responsibilities & impact
  • 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
  • Work with on-chain and off-chain data sources to build robust, reproducible analytical pipelines

Requirements

What you’ll need
  • 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

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
stress testing frameworkspredictive modelsMonte Carlo simulationstime series analysisquantitative assessment frameworksliquidation risk modelingcollateral volatility modelingquantitative approachesrisk model validationanalytical pipelines
Soft Skills
written communicationself-drivenintellectually curiousadaptability