Support AML and business stakeholders with the hands-on development and documentation of suspicious activity monitoring models
Support model owner responsibilities, including involvement in model development, testing, tuning, implementation, and ongoing monitoring
Be involved in designing and building features, scenarios, and analytical logic to enhance detection of suspicious digital asset activities
Contribute to the development of user stories and requirements to improve monitoring of digital transactions and entities
Contribute to improving efficiency in Financial Crimes Compliance processes through development of analytical and investigative tools
Work with large datasets and partner with data teams to support data sourcing, transformation, and pipeline design (e.g. ETL processes)
Collaborate with broader AML Compliance teams including policy, risk assessment, and KYC teams, ensuring alignment of data and model requirements
Support validation and testing to ensure the accuracy and effectiveness of models and processes

3+ years of experience in suspicious activity monitoring within Financial Crimes Compliance, with proven hands-on experience in data analysis and/or model development coupled with experience in digital assets
Hands-on experience with SQL, including querying, data manipulation, and working with large datasets is required
Working knowledge of Python for data analysis, feature engineering, or model development is required
Understanding of cryptocurrency transaction flows, blockchain data, and AML typologies in digital assets, or demonstrated interest in developing expertise in this area is required
Familiarity with AML transaction monitoring frameworks, including exposure to model development, scenario design, or alert tuning
Experience working with large datasets and data environments (e.g., Databricks, Spark, Snowflake)
Experience utilising blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) is preferred
Bachelor’s degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Finance) or related field; advanced degree preferred

our retirement savings plan (401K) with company match
insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
access to our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
eligibility for certain tax advantaged savings plans

Digital Asset Transactions Monitoring Lead Analyst, Assistant Vice President

Key skills