Risk & Quantitative Analyst (DeFi / Perpetuals)

gmx.io

Australia, Canada, Germany, India, Ireland +5 moreremotePosted 1 month ago

Skill Required

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Key highlights

High‑impact role shaping protocol safety and capital efficiency for a leading decentralized perpetuals exchange.
Direct collaboration with the Risk Lead to develop in‑house risk capabilities.
Strong quantitative background required (math, statistics, physics, engineering, or quantitative finance).
Proficiency in Python and/or JavaScript/Node for data analysis and tooling.
Experience in market risk, trading risk, or DeFi risk is mandatory.
Preferred experience with on‑chain data sources and subgraph indexing.

Role overview

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.

Responsibilities

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.
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.
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.
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.

Requirements

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.

Nice to have

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.