Senior Quantitative Risk Analyst (Digital Assets)
WFA Digital Insight
As the digital asset market continues to evolve, demand for skilled quantitative risk analysts has grown exponentially. With a 25% increase in crypto-related job postings in the past year, professionals with expertise in risk modeling and predictive analytics are in high demand. Particula, a leading rating provider for digital assets, is at the forefront of this trend. Before applying, candidates should be aware that this role requires a strong foundation in quantitative finance and experience working with digital assets. With the market expected to continue its upward trajectory, this is an exciting opportunity for those looking to shape the future of the financial world.
Job Description
About the Role
The Senior Quantitative Risk Analyst role at Particula is a unique opportunity to work at the intersection of financial engineering, crypto-native risk, and institutional-grade research. As a key member of the risk methodology team, you will contribute directly to the development of Particula's proprietary risk ratings and frameworks. Your day-to-day responsibilities will include designing and implementing stress testing frameworks, developing predictive models, and collaborating with cross-functional teams to ensure Particula's methodologies remain at the forefront of industry standards.The digital asset market is a rapidly evolving space, and Particula is committed to making it more accessible, secure, and transparent for institutional investors. As a Senior Quantitative Risk Analyst, you will play a critical role in shaping the future of the financial world. You will work closely with the methodology team to integrate risk factors into the broader risk framework and contribute to the development of Particula's expanding real-world asset methodology.
Particula's team is passionate about creating trust, minimizing risks, and allocating capital effectively in the digital asset market. As a Senior Quantitative Risk Analyst, you will be part of a dynamic team that values innovation, collaboration, and excellence. You will have the opportunity to work with a talented group of professionals who are dedicated to making a positive impact in the financial world.
What You Will Do
- 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 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 real-world asset vaults, including credit quality, liquidity profiles, and concentration risk
- Collaborate with the methodology team to integrate RWA risk factors into the broader risk framework
- Produce in-depth quantitative research and market analysis for external publication
What We Are Looking For
- Strong foundation in quantitative finance, statistics, or financial engineering
- Minimum of 5+ years of proven experience in the digital asset industry or a similar field
- Experience working with digital assets, including crypto-backed lending and collateral risk
- Strong programming skills in languages such as Python, R, or MATLAB
- Experience with data analysis and visualization tools such as Tableau, Power BI, or D3.js
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Strong problem-solving skills, with the ability to think critically and outside the box
- Experience with machine learning and predictive modeling techniques
Nice to Have
- Experience with cloud-based data platforms such as AWS or Google Cloud
- Knowledge of blockchain technology and smart contract development
- Experience with agile development methodologies and version control systems such as Git
- Certification in a relevant field, such as the CFA or FRM
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading rating provider for digital assets
- Collaborative and dynamic work environment
- Professional development opportunities, including training and education programs
- Flexible working hours and remote work options
- Access to cutting-edge technology and tools
- Opportunity to work with a talented team of professionals who are passionate about making a positive impact in the financial world
How to Stand Out
- Develop a strong understanding of risk modeling and predictive analytics, including experience with programming languages such as Python or R.
- Build a portfolio of your work, including examples of predictive models and risk assessments you have developed.
- Be prepared to discuss your experience working with digital assets, including crypto-backed lending and collateral risk.
- Highlight your ability to work effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Research the company and the role thoroughly, and be prepared to ask informed questions during the interview process.
- Consider obtaining certification in a relevant field, such as the CFA or FRM, to demonstrate your expertise and commitment to the field.
- Be prepared to discuss your experience with data analysis and visualization tools, and how you have used these tools to inform your risk assessments and predictive models.
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