Overview:
In this role you help Circle detect and deter financial crime within a global, blockchain-enabled platform. You will own complex AML investigations, determine when to file SARs/STRs, and support law enforcement and regulators. You’ll work with cross-functional teams to improve detection models and share insights from trends. This position combines hands-on investigation with strategic compliance and stakeholder collaboration in a fast-growing fintech environment. Compensation / Benefits remote work (#LI-Remote) flexible work environment competitive base pay equal opportunity employer accommodations available
Responsibilities:
Investigate escalated AML cases (L2 from alerts, enhanced monitoring, and L1 reviews) and determine SAR/STR filing Own cases end-to-end, documenting decisions and producing high-quality SARs/STRs Support transaction monitoring when needed and identify trends across work types Assist external parties (law enforcement, banking partners) and internal teams (policy, legal, Compliance Operations) Escalate significant risks to MLRO and support regulator/audit inquiries Ensure customers comply with applicable laws and Circle obligations Maintain strong operational focus with time-sensitive workflows and competing priorities Collaborate with policy and data/tech teams to improve detection models and coverage Provide training and feedback to IO analysts as needed
Key requirements:
B.A./B.S. degree; quantitative or technical background a plus 4+ years in AML alert review, investigation, and reporting Experience writing clear SAR/STR narratives and communicating findings to senior stakeholders or regulators Understanding of blockchain ecosystems, VASPs, and evolving AML/CFT regulations Experience with blockchain forensic tools (TRM Labs, Chainalysis, Elliptic) Strong analytical, organizational, and written/verbal communication skills Ability to analyze large transactional data sets; SQL experience a plus Ability to work under pressure and manage competing priorities Collaboration across multiple stakeholders and internal teams CAMS/CFCS/CFE certification a plus Google Suite, Slack, and Apple MacOS familiarity preferred Familiarity with AI models and applying automation/ML to AML workflows collaborative mindset attention to detail strong communication TRM Labs Chainalysis Elliptic