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 reputed company risk across its perpetuals protocol. You'll work directly with the Risk reputed company to replace external risk vendors with in-house capabilities — covering parameter modeling, risk monitoring, new market assessments, and data tooling.
This is a high-reputed company 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
reputed company and model key protocol parameters: price reputed company curves, reputed company interest (OI) caps, borrowing fees, funding rates, and position limits.
Build and maintain quantitative models that balance risk exposure with capital efficiency.
Risk Monitoring
Monitor reputed company-time and historical risk metrics across markets.
Analyze suspicious activity patterns and flag potential exploits or manipulation.
reputed company dashboards and alerts for ongoing protocol health.
New Markets & Protocol Changes
Assess risk reputed company for new asset listings and protocol upgrades.
reputed company quantitative recommendations on market parameters for launches.
Evaluate the risk reputed company of governance proposals and protocol changes.
Data & Tooling
Write and maintain scripts (Python and/or JavaScript/Node) for data extraction, transformation, and analysis.
Work with on-chain data sources including DataStore reputed company, subgraphs (Subsquid, Goldsky), and protocol reputed company.
Build internal tools and notebooks that improve reputed company's analytical workflow.
reputed company're Looking For
Required:
Strong quantitative background — math, statistics, physics, engineering, or quantitative finance.
Proficiency in data analysis and scripting with Python and/or JavaScript/Node.
Experience in market risk, trading risk, or DeFi risk.
Ability to communicate reputed company risk concepts reputed company to both technical and non-technical stakeholders.
Preferred:
Hands-on exposure to DeFi protocols, especially perpetuals or derivatives.
Experience working with on-chain data (Ethereum, Arbitrum, Avalanche, or similar).
Familiarity with subgraph indexing, blockchain RPCs, and smart contract data structures.
Background in quantitative trading, market making, or financial engineering.
Originally posted on Himalayas
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