Quantitative Risk Modeling Analyst

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

Team / Role

As part of Coinbase’s broader risk management organization, the Financial Risk Quant team is responsible for building quantitative models that assess and mitigate risks associated with our risk-bearing products, as well as measuring and monitoring portfolio exposures across the platform. We are seeking a Quantitative Risk Modeling Analyst with strong expertise in statistical modeling and capital markets to support our rapidly expanding institutional business.

In this role, you will help design, develop, implement, and maintain a suite of financial risk models that form the foundation of our risk infrastructure. This is a unique entrepreneurial opportunity to help shape the quantitative risk framework for Coinbase’s next-generation products. You will work closely with senior quant researchers and collaborate directly with risk managers, product and engineering teams, and other cross-functional partners to deliver robust, scalable risk management tools.

The ideal candidate thrives in fast-paced, evolving environments and is excited to work at the forefront of the digital asset industry alongside world-class talent.

Responsibilities

• Develop, implement, and maintain Potential Future Exposure (PFE) models across all risk-bearing products
• Design and calibrate margin models for exchange-traded and prime brokerage products
• Enhance and support the Value-at-Risk (VaR) model to monitor and manage market risk
• Develop, implement, and maintain liquidity models
• Write production level code for model implementation
• Conduct quantitative risk analyses to support risk-informed decision making, including limit setting, slippage analysis, and liquidation risk waterfall design
• Build and deploy quantitative tools within the firm’s risk platform
• Contribute to the development and implementation of liquidity and operational risk models as needed

Requirements

• PhD or Master degree in a highly quantitative field (Physics, Mathematics, Statistics, Financial Engineering, etc.)
• 2+ years of experience working in quantitative risk model development or quantitative research within Investment Bank / Asset Management / Exchanges / Fintech
• Familiarity with financial products and key risk factors: asset backed lending, margin trading, prime brokerage services, exchange traded products
• Deep understanding of statistical and machine learning models/methodologies used in finance: time series models, Bayesian models, Gaussian copula, multi-factor models, logistic/linear regression, probit, random forest, gradient boosting
• Good understanding of Monte Carlo simulation and Brownian motion in financial settings
• Knowledge of credit and market risk metrics: Potential Future Exposure, Probability of Default, Loss Given Default, Option Greeks
• Proficiency in Python and SQL programming
• Strong technical writing skills for model documentation
• Ability to communicate technical findings clearly to non-technical audiences
• Strong ownership and collaboration skills

Nice to Haves

• Experience with derivatives (swaps, options, futures)
• Understanding of crypto assets and their protocols
• Knowledge of liquidity risk models

Benefits

• Medical, Dental, and Vision Plans with generous employee contributions
• Health Savings Account with company contributions
• Disability and Life Insurance
• 401(k) plan with company match
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Volunteer Time Off
• Fertility Counseling and Benefits
• Generous Time Off/Leave Policy
• Option of getting paid in digital currency