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

• Calibrate and model key protocol parameters: price impact curves, open 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 real-time and historical risk metrics across markets.

• Analyze suspicious activity patterns and flag potential exploits or manipulation.

• Develop dashboards and alerts for ongoing protocol health.

New Markets & Protocol Changes

• Assess risk profiles for new asset listings and protocol upgrades.

• Provide quantitative recommendations on market parameters for launches.

• Evaluate the risk impact 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 contracts, subgraphs (Subsquid, Goldsky), and protocol APIs.

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

What We’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 complex risk concepts clearly 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