Quantitative Risk Modeling Analyst

Location: United States (Remote) | Full-time

Role Overview:

Join Coinbase’s Financial Risk Quant team to develop and maintain quantitative risk models supporting the company’s risk management for institutional products. You’ll build tools to assess market, credit, and liquidity risks, collaborating with cross-functional teams to strengthen Coinbase’s risk framework.

Key Responsibilities:

• Develop and maintain Potential Future Exposure (PFE), margin, Value-at-Risk (VaR), and liquidity models.
• Conduct quantitative risk analyses to support decision-making.
• Collaborate across teams to build and deploy risk management tools.

Qualifications:

• PhD or Master’s in a quantitative field (Physics, Mathematics, Statistics, Financial Engineering, etc.).
• 2+ years in quantitative risk modeling or research (Investment Banks, Asset Management, Exchanges, Fintech).
• Strong understanding of financial products and associated risks (margin trading, prime brokerage, asset-backed lending).
• Proficient in Python and SQL.
• Experience with statistical/machine learning models and Monte Carlo simulations.
• Excellent communication and documentation skills.

Nice to Have:

• Experience with derivatives (swaps, options, futures).
• Knowledge of crypto assets and protocols.

Senior Data Scientist – Information Retrieval & NLP – San Francisco, CA

Senior Data Scientist – Information Retrieval & NLP

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