Anchorage Digital - Member of Compliance, Financial Crimes Compliance Data Analytics
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Requirements
• Expert in Compliance-related data tables and models, understanding the nuances of the data, the underlying codes, and the limitations of the models. Capable of conducting reliable data analysis independently and accurately. • Work with stakeholders to drive the automation of key compliance processes and workflows using internal tools, such as Know-Your-Customer, sanctions screening, suspicious activity identification and reporting to improve efficiency and reduce manual effort. • Experience experimenting with and deploying AI solutions. Stay current with the latest AI developments and actively seek new ways to enhance efficiency using internal AI tools or creative methods. • Complexity and Impact of Work: • Support the development and enhancement of BSA/AML models, including transaction monitoring, sanctions screening, customer risk rating, blockchain analytics, and other relevant BSA/AML tools. • Contribute to process improvements and best practices for the FCC Analytics team, including code review, testing frameworks, project management, and documentation. • Conduct ad hoc analyses and respond to time-sensitive data requests from auditors, regulators, or other Compliance teams with accuracy and speed. • Organizational Knowledge: • Develop deep understanding of Anchorage Digital’s business model across custody, staking, stablecoins, and trading, and how data flows through these domains and the compliance models • Coordinate with cross-functional teams (Product, Engineering, etc.) to implement and improve tools and processes within the broader Compliance department. • Understand how the Compliance and FCC team fits within the broader organizational structure, align work with team and company priorities. • Communication and Influence: • Manage competing priorities across strategic projects and urgent ad-hoc requests; ask clarifying questions to scope ambiguous requests and push back constructively when requirements are unclear, proposing alternative approaches • Present findings and data insights with appropriate context, visual aids, and tailored communication style • You may be a fit for this role if you have: • Experience: 2–3 years of experience in a data analytics or data science role, with a strong understanding of blockchain, cryptocurrency, and the financial services industry. • 2–3 years of experience in a data analytics or data science role • Technical Proficiency: Demonstrated ability to operate autonomously to manage multiple competing priorities. Proficient in data manipulation and analysis tools (e.g., SQL, Looker, advanced Excel/Google Sheets). Advanced SQL skills including CTEs, window functions, complex joins, and query optimization; ability to write production-quality queries for diverse use cases. • Automation & AI Aptitude: Experience with or a strong interest in automation principles, leveraging existing AI tools, and exploring new AI tools (such as AI Agents) to enhance productivity. • Technologist Mindset: While not necessarily an engineer, a strong understanding of how systems, data flows, and technologies interact is essential. Eagerness to learn and apply new technologies. • Although not a requirement, bonus points if: • Prior experience in the financial service industry, crypto industry, start-up, or a fast-paced, evolving environment where you’ve worn multiple hats and adapted quickly; • General understanding of regulatory compliance, financial crimes, and risk management. • Experience with data transformation tools like dbt or similar; familiarity with version control (Git) and software engineering best practices for analytics • Python or other scripting languages for data analysis, automation, or data pipeline work • Excellent communication skills with experience presenting technical findings to both technical and non-technical stakeholders • Proven ability to manage competing priorities and deliver accurate results under tight deadlines, especially for compliance or audit-related requests • Detail-oriented and quality-focused with a commitment to data accuracy, testing, and documentation • You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)
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