Data Analyst

Description

Data Analyst

Responsibilities

• AML Expertise:
• Demonstrate deep knowledge of Anti‑Money Laundering (AML) standards and their application within large global financial institutions. This includes a strong understanding of AML‑relevant banking products and end‑to‑end business processes across Transaction Monitoring (TM), Know Your Customer (KYC), and Sanctions.
• Data Knowledge:
• Maintain a thorough understanding of payment systems, booking processes, client and account static data, and related operational data flows.
• Data Analytics:
• Apply advanced analytical skills to interpret large and complex datasets, identify trends, detect risks, and recommend opportunities to enhance transaction monitoring effectiveness. Extensive hands‑on experience with SQL is essential.
• Gap Analysis:
• Perform detailed gap analyses to identify weaknesses or inefficiencies in existing AML systems, processes, and rule sets. Propose actionable solutions to address identified gaps.
• Data Collaboration:
• Partner closely with data engineering and platform teams to ensure accuracy, consistency, integrity, and completeness of data across the AML ecosystem.
• User Acceptance Testing (UAT):
• Lead and coordinate UAT activities for AML platform enhancements. Collaborate with business stakeholders to validate functional changes, assess rule performance, and ensure alignment with regulatory and business requirements.
• Reporting & Performance Monitoring:
• Prepare comprehensive reports on AML system performance, TM rule effectiveness, and compliance with regulatory expectations. Present findings to stakeholders as needed.
• Training & Support:
• Provide guidance, training, and subject‑matter support to analysts, business users, and compliance teams on AML system functionality, best practices, and new system updates.
• Language Skills:
• Fluency in English is required.

Must‑Have Qualifications

1. Minimum 5 years of experience in the financial services industry.
2. At least 5 years of hands‑on experience with SQL, Python, and/or R.
3. Extensive experience working with one or more AML solutions (e.g., Actimize, Oracle) including a strong understanding of their underlying data models.
4. Proven experience conducting model validation, tuning and optimization, as well as data validation and gap assessments within AML environments.
5. Ability to produce precise and well‑structured documentation of observations, analytical results, and findings for reporting and audit purposes.

Why Matrix

Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide.

We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future.

Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit Matrix -ifs. Com,