Quantitative Risk Modeling Analyst

Coinbase; Deutschland; Remote; EUR 85.000 - 121.000; Vollzeit

Zusammenfassung

A leading cryptocurrency exchange is seeking a Quantitative Risk Analyst to join their Financial Risk Quant team. The role involves developing models for market, credit, and liquidity risks, and collaborating with cross-functional teams. Candidates should possess a PhD or Master’s in a quantitative field and have experience in risk modeling. Strong skills in Python and SQL are essential. This position is remote, promoting flexible work arrangements.

Qualifikationen

• 2+ years in quantitative risk modeling or research in relevant industries.
• Strong understanding of financial products and associated risks.
• Experience with Monte Carlo simulations.

Aufgaben

• Develop and maintain various risk models.
• Conduct quantitative risk analyses.
• Collaborate to build risk management tools.

Kenntnisse

Quantitative risk modeling

Python

SQL

Statistical/machine learning

Communication skills

Ausbildung

PhD or Master’s in quantitative field

Jobbeschreibung

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.

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