NextAML Compliance Solutions Hiring! Full Time Data Analyst in Federal Territory - Ricebowl

Company Description NextAML Compliance Solutions is a boutique compliance and risk advisory firm providing technology-enabled, AI-powered solutions across financial crime prevention, regulatory compliance, credit risk management, data management, information security, and internal audit. Founded by former Big Four professionals and industry experts, the firm is execution focused and supports clients in navigating complex global regulations and industry standards. NextAML and NextRCA serve clients in the Americas and Europe from a New York City office, while NextRegTech supports clients in Asia and the Middle East from Kuala Lumpur, Malaysia. Team members collaborate with financial institutions, digital asset firms, gaming companies, and corporates, contributing to impactful, data-driven compliance solutions.

Role Description This is a full-time, on-site Data Analyst role based in WP. Kuala Lumpur. The Data Analyst will collect, clean, validate, and transform data from multiple sources to support compliance, risk, and financial crime prevention projects. They will build reports, dashboards, and visualizations to provide clear insights to internal teams and clients, and support statistical analysis and modeling to detect patterns, anomalies, and risks. The role involves collaborating with consultants and subject matter experts to translate regulatory and business requirements into data requirements, documenting analytical approaches, and presenting findings in a clear, structured manner. The Data Analyst will also help improve data quality, contribute to process automation, and support the development of analytics components in AI-powered compliance solutions.

Candidates with AML (Anti-Money Laundering) and CFT (Countering the Financing of Terrorism) experience .

Qualifications

• Strong analytical skills and Data Analytics capabilities to interpret complex datasets and generate actionable insights.
• Solid understanding of Statistics and experience applying statistical methods to risk, compliance, or financial crime use cases.
• Experience with Data Modeling and working with relational databases or data warehouses.
• Clear, structured Communication skills to present technical findings to non-technical stakeholders in written and verbal form.
• Proficiency with analytics and visualization tools (e.g., Excel, SQL, Power BI, Tableau, or similar) and comfort working with large datasets.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (or equivalent practical experience).
• Ability to work on-site in WP. Kuala Lumpur, manage multiple priorities, and meet deadlines in a fast-paced environment.
• Experience or strong interest in regulatory compliance, financial services, or financial crime analytics is an advantage.
• Familiarity with programming languages for data analysis (e.g., Python or R) and basic understanding of AI or machine learning concepts is a plus.