Member of Compliance, Financial Crimes Compliance Data Analytics
Role in brief
Anchorage Digital is seeking a mid-level Compliance Analyst to specialize in financial crimes compliance data analytics. This role involves using data insights and AI tools to improve and optimize compliance programs. Candidates with 2-3 years of data analytics experience and a background in blockchain and financial services should consider applying.
About the role
This role focuses on enhancing financial crimes compliance programs through data analysis and technology. The successful candidate will be responsible for supporting the design and optimization of these programs, transforming raw data into actionable insights to drive efficiency. This involves leveraging various data tools and analytical methods to identify trends and improve compliance effectiveness.
A key aspect of the position is driving process improvements and integrating technology into compliance workflows. The analyst will utilize AI tools and automation to strengthen the company's compliance posture, ensuring that Anchorage Digital maintains robust defenses against financial crimes. This work directly contributes to the integrity and security of the platform's operations.
Success in this role means consistently delivering data-driven insights that lead to more effective and efficient compliance operations. It requires a technologist mindset, a willingness to learn new tools and methodologies, and a strong understanding of how data can be leveraged to meet regulatory requirements in the digital asset space. The analyst will be instrumental in helping the company adapt and respond to evolving compliance challenges.
The salary for this role ranges from $120,000 to $200,000 annually.
Skills that matter here
- SQL: This role requires proficiency in SQL for querying and manipulating raw data to extract relevant information for compliance analysis.
- Looker: Experience with Looker is necessary for visualizing data and creating dashboards to present compliance insights effectively.
- Excel: Proficiency in Excel is needed for data handling, analysis, and reporting within compliance operations.
- Google Sheets: Similar to Excel, Google Sheets will be used for data management and collaborative analysis in compliance tasks.
- Python: Python skills will be utilized for data analysis, automation, and potentially integrating with AI tools to enhance compliance processes.
- Git: Familiarity with Git will support version control for code and analytical projects, ensuring collaborative and organized development.
Who this role suits
- A person with 2-3 years of experience in data analytics or data science, specifically within financial services.
- Someone who possesses a strong understanding of both blockchain technology and traditional financial services.
- An individual who is eager to learn and adopt new technologies, especially in automation and AI.
- A candidate who thrives on transforming complex data into clear, actionable insights for compliance improvements.
From the employer
- Support design and optimization of compliance programs.
- Transform raw data into actionable insights.
- Drive process improvements and leverage technology.
- Enhance compliance posture through analytics and AI tools.
- 2–3 years in data analytics or data science.
- Strong understanding of blockchain and financial services.
- Proficient in SQL, Looker, Excel/Google Sheets.
- Experience with automation and AI tools.
- Technologist mindset with eagerness to learn.
- Competitive salary ($120K-$200K).
- Remote work opportunity.
- Inclusive and diverse workplace.
- Opportunity to work with leading institutions.
Questions about this role
What is the remote work policy for this position?
This is a remote work opportunity.
What level of seniority is expected for this role?
This is a middle seniority position, requiring 2-3 years of experience in data analytics or data science.
What are the key technical skills required for this role?
Key technical skills include proficiency in SQL, Looker, Excel/Google Sheets, and experience with Python and Git.