Data Analyst at Matrix Global in Hyderabad, Hyderabad, United States

Data Analyst at Matrix GlobalHyderabad, Hyderabad, United States — full-time

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

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