Member of Compliance, Financial Crimes Compliance Data Analytics

Location: United States Department: Compliance & Risk – FCC Program Commitment: Full-Time Workplace Type: Remote

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At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto.

Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry's leading security infrastructure. Home to Anchorage Digital Bank N.A., the first federally chartered crypto bank in the U.S., Anchorage Digital also serves institutions through Anchorage Digital Singapore, Porto by Anchorage Digital, and other offerings.

The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. Founded in 2017 in San Francisco, California, Anchorage Digital has offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota. Learn more at anchorage.com, on X @Anchorage, and on LinkedIn.

We are seeking a highly motivated and intellectually curious Member of Compliance, Financial Crimes Compliance Data Analytics with a strong data analysis background. As a vital member of the Compliance team, you will have the opportunity to support the design, implementation, and optimization of compliance programs across all applicable Anchorage Digital legal entities.

You will work closely with various compliance functions, particularly Financial Crimes Compliance, to drive efficiency and effectiveness within the program. Your expertise will be critical in transforming raw data into actionable insights, driving process improvements, and leveraging technology to enhance our overall compliance posture.

This role is ideal for a proactive and "young and hungry" technologist who thrives on solving complex problems in a dynamic regulatory environment. You'll gain deep exposure to diverse compliance domains and have the chance to apply your data expertise to strengthen Anchorage Digital's global compliance function through analytics, automation, and the strategic use of AI tools.

It is important that you are well-organized, have a strong analytical background, can effectively manage competing priorities, and can adapt to rapid change in a fast-paced environment. If you thrive under uncertainty and are motivated to excel in a dynamic environment with competing priorities, this role is designed for you. Anchorage Digital values individuals who are proactive, detail-oriented, and innovative.

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Technical Skills:

• 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.

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.
• 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.