We are a decentralized protocol committed to the radical transparency of market data. In an industry where "Code is Law," we ensure that the spirit of fair play is upheld through rigorous analysis. As a Market Integrity Analyst, you will be the lead investigator and architect of our surveillance systems, identifying sophisticated manipulation and ensuring our ecosystem remains a trusted foundation for global finance.
Monitor on-chain and off-chain trading activity to detect, investigate, and prevent market abuse, including wash trading, spoofing, layering, and front-running.
Develop and refine statistical models and heuristics to identify anomalous behavior that traditional rule-based systems might miss.
Conduct deep-dive investigations into flagged transactions, tracing the flow of funds and correlating cross-platform activity to uncover coordinated manipulation.
Design and maintain real-time dashboards and comprehensive reports on market health for protocol governance and community transparency.
Collaborate with the engineering team to integrate advanced surveillance tools and automate the detection of emerging threat typologies.
You have a keen eye for detail and a "sixth sense" for identifying when market data doesn't add up.
You are comfortable working with large datasets and using Python or SQL to extract actionable insights from raw blockchain data.
You understand the mechanics of AMMs, order-book DEXs, and the specific incentives that drive malicious actors in a decentralized environment.
You operate with the highest level of integrity, providing neutral, evidence-based assessments that protect the protocol's reputation.
3+ years of experience in financial surveillance, market oversight, or data science within a high-frequency trading or exchange environment.
Proven proficiency in Python, SQL, and data visualization tools (e.g., Dune Analytics, Tableau, or Grafana).
Deep understanding of market manipulation schemes and the regulatory landscape surrounding digital assets.
Experience with blockchain analytics platforms (e.g., Chainalysis, Elliptic, or Solidus Labs) is a significant plus.
Bachelor’s degree in Finance, Mathematics, Computer Science, or a related quantitative field.
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