Offer summary

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or related field., Proficiency in SQL, Python, Spark, or similar programming languages., Experience with data warehouses and big data ecosystems like Hadoop, Snowflake, or cloud platforms., Knowledge of AML technologies and regulatory compliance, with certifications like CAMS being a plus..

Key responsibilities:

Design and develop data pipelines to support AML monitoring systems.

Collaborate with compliance teams to translate regulatory requirements into technical solutions.

Maintain and optimize data models for transaction monitoring and reporting.

Troubleshoot issues and implement scalable data solutions.

Matrix International Financial Services is a leading global specialist, providing business and technology solutions specifically for the complex needs of the global Financial Industry and Capital Markets. Headquartered in Jersey City, New Jersey Matrix-IFS offers specialized Consulting, Systems Integration and Managed Services which include Trade Surveillance, Business Intelligence (BI), AML / Case Management, Fraud Risk Prevention, Compliance, Financial Operational Risk, Cloud and Cyber-Risk Management, and Advisory Services. More than 50 financial institutions, both top-tier & local banks, rely on Matrix-IFS’ solutions. Matrix-IFS is a division of Matrix IT Ltd (Symbol MTRX.TA), which has over 11,000 employees worldwide, and offices in the U.S., UK, Israel, Eastern Europe, India, and Australia. For more details visit www.matrix-ifs.com. Matrix-IFS has developed and nurtured a broad expertise across multiple solution platforms and operational models. With our intimate knowledge of the predominant case management, compliance and fraud detection solutions on the market today including; Actimize™, Oracle™ Mantas™, Norkom™, Fortent™ and NASDAQ OMX™ SMARTS™, we help institutions establish the technology foundation of a top-performing fraud and compliance organization, and put in place the processes and resources to ensure our clients realize the financial, business and regulatory benefits of an industry-leading fraud and compliance program.Matrix-IFS (formerly known as Matrix-Exzac) operates globally with offices in New Jersey, Florida, UK, Israel and Australia.

Job description

Description

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.

Required profile