Job Description I am looking for an experienced Blockchain Data Analyst to help identify and track clusters of wallets on Polymarket (Polygon Network). The goal is to identify multiple wallets that likely belong to the same individual based on funding patterns and behavioral fingerprints.
Key Responsibilities Funding Source Traceback: Analyze the initial funding source of specific Polymarket wallets. Determine if the source is a private self-custodial wallet or a Centralized Exchange (CEX) hot wallet.
Temporal & Amount Analysis: For wallets funded by exchanges, perform temporal analysis to match withdrawal times and amounts to identify "sibling" wallets (wallets funded in the same batch).
Cluster Mapping: Identify "Hub-and-Spoke" patterns where one primary wallet distributes funds (USDC/MATIC) to multiple proxy betting accounts.
Exit Point Verification: Track where funds are sent after betting. Identify if multiple wallets "sweep" their winnings to the same exchange deposit address or unique memo ID.
Reporting: Provide a spreadsheet or visualization mapping the connections between the target wallet (0xb786...) and any identified related addresses.
Required Skills Blockchain Explorers: Expert-level use of PolyScan and Etherscan.
Forensic Tools: Experience with Breadcrumbs.app, Arkham Intelligence, Bubblemaps, or Dune Analytics.
Methodology: Deep understanding of "Peeling Chains," withdrawal clusters, and exchange deposit memo tracking.
Network Knowledge: Strong understanding of the Polygon network and Polymarket’s CTF (Conditional Token Framework) contracts.
Preferred Qualifications Experience in "Sybil detection" or crypto-forensics for DeFi platforms.
Ability to write custom Python/SQL scripts (Dune) to automate the search for similar funding patterns across the Polygon network.
Deliverables A list of all wallets identified as "highly likely" to belong to the same owner.
A brief summary of the evidence for each link (e.g., "Funded within 60 seconds of each other," or "Shares the same Binance deposit memo").
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