Job Summary

We are looking for an AML Analyst with strong SQL and data skills to build and maintain AML detection rules on a modern data stack (Google BigQuery, dbt, Airflow, Git). The role sits at the intersection of compliance and data: translating AML business requirements into production-ready SQL logic, ensuring monitoring controls run reliably, and supporting the team with information requests. Experience in banking, finance or fintech is an advantage.

Key Responsibilities

AML Rule Development & Data Pipelines

• Translate AML business requirements (transaction monitoring scenarios, customer risk rating, list screening logic and other AML controls) into SQL rules and data models on Google BigQuery.
• Build, test and maintain dbt models for AML rules, alert generation and supporting datasets, following coding standards and documentation practices.
• Develop and maintain Airflow DAGs to schedule and orchestrate AML rule execution and data pipelines; monitor job runs and resolve failures in a timely manner.
• Manage code using Git (version control, branching, code review, pull requests) to ensure all rule changes are traceable and auditable.
• Implement data quality checks to ensure the completeness and accuracy of data feeding AML controls.

Rule Performance & Monitoring Support

• Analyze alert volumes, trends and rule performance (e.g. hit rate, false positive rate) to support threshold and scenario tuning.
• Perform testing, back-testing and post-implementation validation to ensure rules and changes operate as intended.
• Build reports and dashboards to support AML monitoring, management reporting and periodic reviews.
• Maintain technical documentation for rule logic, data lineage and change history.

Regulatory & Authority Requests

• Extract, compile and provide customer and transaction information in response to requests from regulatory and competent authorities, ensuring accurate, complete and timely submissions.
• Support data requests from internal audit, risk management and other internal stakeholders.

Additional Responsibilities

• Perform other AML-related duties and projects as assigned by the manager.

Requirements

• Bachelor's degree in Information Technology, Computer Science, Data Science, Mathematics, Statistics, Finance or related fields.
• At least 2 years of experience in data analytics, analytics engineering, data engineering or a similar role.
• Strong SQL skills (complex joins, CTEs, window functions, query optimization); hands-on experience with Google BigQuery is preferred.
• Hands-on experience with dbt, Git and Airflow (or similar orchestration tools).
• Ability to translate business requirements into technical logic, with strong analytical skills and attention to detail.
• Fast learner with the ability to work independently and take ownership of deliverables.

Nice to Have

• Experience in banking, finance, fintech, payment service providers or e-wallets.
• Knowledge of AML/CFT regulations, transaction monitoring or financial crime compliance.

Our benefit:

• Competitive compensation including a 13th-month wage and up to 3 months of performance-based bonus.
• Laptop and essential equipment are provided.
• BE Corp budget (vary from your level) is allocated for using services such as transportation, food, and passenger car bookings in Be application.
• Annual health checks
• Premium medical healthcare (PTI) after probation.
• 15 days of annual leave is applied for the entire staff.
• Company trips, team-building activities, and happy hour events are organized on a quarterly or annual basis.