Senior Investigation Analyst protecting prediction market integrity at Polymarket by investigating insider trading, manipulation, fraud, and illicit activity using on-chain forensics and trade surveillance tools. Build defensible cases, respond to legal inquiries, and interface with law enforcement.
Salary not listed
On-site5+ YOEOther
About the role
Responsibilities
Investigate insider trading, coordinated wallet activity, spoofing, and other market integrity matters from initial signal through a documented, defensible finding.
Trace wallets, funding flows, and transaction history using tools such as Chainalysis to identify coordination and test hypotheses.
Review spoofing, layering, and related order-book manipulation using trade-surveillance tooling (e.g., Eventus/Validus) alongside on-chain evidence.
Evaluate and respond to subpoenas and legal process, assessing risk and sensitivity and meeting binding deadlines.
Write investigative reports and findings that hold up to scrutiny from leadership, law enforcement, or outside counsel.
Stay current on manipulation and fraud patterns as prediction markets and the underlying blockchain ecosystem evolve.
Requirements
5–7+ years of investigative experience in trade surveillance, market structure or regulation, blockchain forensics, financial crimes, law enforcement, or a comparable field involving building cases from ambiguous evidence.
Working knowledge of order-book mechanics and manipulation typologies (spoofing, layering, wash trading), or blockchain analysis and on-chain typologies — ideally both.
Direct experience with blockchain analysis tools (e.g., Chainalysis, TRM Labs, Elliptic) or trade-surveillance platforms (e.g., Eventus/Validus, Nasdaq SMARTS).
A track record of building a case from limited initial indicators and documenting it clearly enough to act on.
Sound judgment evaluating and responding to legal and regulatory requests under real deadlines.
Genuine comfort with ambiguity — a meaningful share of what you'll investigate won't map to a category that already exists.
Nice-to-Haves
Experience with prediction markets or other crypto-native platforms.
SQL or Python, used to test your own hypotheses against trade or on-chain data.
Prior experience serving as a point of contact for law enforcement or regulators.
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