3+ years in financial surveillance with a keen eye for detail.
Proficiency in Python and SQL, plus data visualization tools (Dune Analytics, Tableau, Grafana).
Deep understanding of market manipulation schemes and the digital assets regulatory landscape.
Experience with blockchain analytics platforms (Chainalysis, Elliptic, Solidus Labs) is a_plus.
Bachelor’s degree in Finance, Mathematics, Computer Science, or related quantitative field.

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