Member of Compliance, Financial Crimes Compliance Data Analytics

Member of Compliance, Financial Crimes Compliance Data Analytics at Anchorage Digital

Anchorage Digital is actively seeking a highly motivated and intellectually curious Member of Compliance, Financial Crimes Compliance Data Analytics with a robust background in data analysis. In this pivotal role within the Compliance team, you will have the unique opportunity to contribute to the design, implementation, and optimization of compliance programs across all applicable Anchorage Digital legal entities. Working closely with various compliance functions, particularly Financial Crimes Compliance, your expertise will be instrumental in enhancing program efficiency and effectiveness.

You will be responsible for transforming raw data into actionable insights, driving process improvements, and leveraging technology to strengthen Anchorage Digital's overall compliance posture. This position is perfect for a proactive and driven technologist who thrives on solving complex problems within a dynamic regulatory landscape. You will gain extensive exposure to diverse compliance domains and apply your data expertise to bolster Anchorage Digital's global compliance function through analytics, automation, and the strategic deployment of AI tools.

Success in this role requires strong organizational skills, an analytical mindset, the ability to manage competing priorities, and adaptability to rapid change in a fast-paced environment. If you excel under uncertainty and are motivated to achieve excellence amidst dynamic challenges, this role offers a compelling opportunity within Anchorage Digital, a company that values proactive, detail-oriented, and innovative individuals.

About Anchorage Digital

Anchorage Digital is at the forefront of building the world’s most advanced digital asset platform for institutions. As home to Anchorage Digital Bank N.A., the first federally chartered crypto bank in the U.S., Anchorage Digital provides institutional access to digital assets through custody, staking, trading, governance, settlement, and industry-leading security infrastructure. Founded in 2017 in San Francisco, California, the company is backed by leading institutions like Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with a Series D valuation exceeding $3 billion. Anchorage Digital maintains offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota, reflecting its global footprint.

Technical Skills

• Expertise in Compliance-related data tables and models, including understanding data nuances, underlying codes, and model limitations, to conduct reliable and accurate data analysis independently.
• Drive the automation of key compliance processes and workflows, such as Know-Your-Customer, sanctions screening, and suspicious activity identification/reporting, using internal tools to boost efficiency.
• Experience experimenting with and deploying AI solutions, staying current with developments, and actively seeking new ways to enhance efficiency through AI tools.

Complexity and Impact of Work

• Support the development and enhancement of BSA/AML models, including transaction monitoring, sanctions screening, customer risk rating, and blockchain analytics.
• Contribute to process improvements and best practices for the FCC Analytics team, covering code review, testing frameworks, project management, and documentation.
• Conduct ad hoc analyses and quickly respond to time-sensitive data requests from auditors, regulators, or other Compliance teams with precision.

Organizational Knowledge

• Develop a deep understanding of Anchorage Digital's business model across custody, staking, stablecoins, and trading, and how data flows through these domains and compliance models.
• Coordinate with cross-functional teams (Product, Engineering, etc.) to implement and improve tools and processes within the broader Compliance department.
• Understand the Compliance and FCC team's role within the organization, aligning work with team and company priorities.

Communication and Influence

• Manage competing priorities across strategic projects and urgent ad-hoc requests, asking clarifying questions for ambiguous requests and constructively challenging unclear requirements.
• Present findings and data insights effectively with appropriate context, visual aids, and a tailored communication style.

Qualifications

You may be a fit for this role if you have:

• Experience: 2–3 years in a data analytics or data science role, coupled with a strong understanding of blockchain, cryptocurrency, and the financial services industry.
• Technical Proficiency: Demonstrated ability to manage multiple competing priorities autonomously. 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, are essential.
• Automation & AI Aptitude: Experience with or strong interest in automation principles, leveraging existing AI tools, and exploring new AI tools (like AI Agents) to enhance productivity.
• Technologist Mindset: A strong understanding of how systems, data flows, and technologies interact is essential, along with an eagerness to learn and apply new technologies.

Bonus points if:

• Prior experience in financial services, crypto, a startup, or a fast-paced, evolving environment.
• General understanding of regulatory compliance, financial crimes, and risk management.
• Experience with data transformation tools (dbt or similar), familiarity with version control (Git), and software engineering best practices for analytics.
• Proficiency in Python or other scripting languages for data analysis, automation, or data pipeline work.
• Excellent communication skills for presenting technical findings to diverse stakeholders.
• Proven ability to manage competing priorities and deliver accurate, quality-focused results under tight deadlines.

Key skills/competency

• Data Analytics
• Financial Crimes Compliance
• BSA/AML
• SQL
• Blockchain Analytics
• AI Solutions
• Process Automation
• Risk Management
• Regulatory Compliance
• Data Modeling