Data AML Developer /Engineer

We're seeking a detail-oriented Data AML eveloper/DEngineer to join our financial crime compliance technology team. This role plays a critical part in combating money laundering by designing, developing, and maintaining robust data solutions that support AML (Anti-Money Laundering) systems and analytics.

💼 Key Responsibilities

• Design and implement end-to-end data pipelines to support AML monitoring systems.
• Build, optimize, and maintain data ingestion workflows from core banking systems and external data feeds.
• Collaborate with compliance officers and analysts to translate regulatory requirements into data and engineering solutions.
• Maintain and enhance data models to support AML transaction monitoring, case management, and reporting platforms.
• Develop and support ETL processes and data enrichment for suspicious activity detection.
• Ensure data quality, integrity, and governance aligned with AML compliance standards.
• Troubleshoot production issues and provide long-term scalable solutions.

🧰 Preferred Skills & Experience

• Strong background in SQL, Python, Spark, or similar data-focused programming languages.
• Familiarity with AML technologies such as Actimize, SAS AML, or similar platforms is a plus.
• Experience working with data warehouses and big data ecosystems (e.g., Hadoop, Snowflake, or AWS/GCP/Azure).
• Understanding of financial services, regulatory compliance, and BSA/AML regulations.
• Proficient with version control tools (e.g., Git), and CI/CD pipelines.
• Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.

📚 Education & Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Certification in AML (e.g., CAMS) or experience in compliance tech a strong plus.