Risk & Quantitative Analyst (DeFi / Perpetuals)

About the Role

GMX is building out its internal risk function and looking for a Risk & Quantitative Analyst to help manage and calibrate risk across its perpetuals protocol. You'll work directly with the Risk Lead to replace external risk vendors with in-house capabilities — covering parameter modeling, risk monitoring, new market assessments, and data tooling.

This is a high-impact role where your work directly shapes protocol safety and capital efficiency for one of the largest decentralized perpetuals exchanges.
What You'll Do
Parameter Calibration & Modeling

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Calibrate and model key protocol parameters: price impact curves, open interest (OI) caps, borrowing fees, funding rates, and position limits.

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Build and maintain quantitative models that balance risk exposure with capital efficiency.

Risk Monitoring

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Monitor real-time and historical risk metrics across markets.

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Analyze suspicious activity patterns and flag potential exploits or manipulation.

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Develop dashboards and alerts for ongoing protocol health.

New Markets & Protocol Changes

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Assess risk profiles for new asset listings and protocol upgrades.

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Provide quantitative recommendations on market parameters for launches.

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Evaluate the risk impact of governance proposals and protocol changes.

Data & Tooling

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Write and maintain scripts (Python and/or JavaScript/Node) for data extraction, transformation, and analysis.

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Work with on-chain data sources including DataStore contracts, subgraphs (Subsquid, Goldsky), and protocol APIs.

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Build internal tools and notebooks that improve the team's analytical workflow.

What We're Looking For
Required:

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Strong quantitative background — math, statistics, physics, engineering, or quantitative finance.

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Proficiency in data analysis and scripting with Python and/or JavaScript/Node.

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Experience in market risk, trading risk, or DeFi risk.

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Ability to communicate complex risk concepts clearly to both technical and non-technical stakeholders.

Preferred:

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Hands-on exposure to DeFi protocols, especially perpetuals or derivatives.

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Experience working with on-chain data (Ethereum, Arbitrum, Avalanche, or similar).

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Familiarity with subgraph indexing, blockchain RPCs, and smart contract data structures.

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Background in quantitative trading, market making, or financial engineering.

Originally posted on Himalayas