Responsibilities

• Conduct end-to-end business and functional analysis within the Transaction Monitoring / Anti-Financial Crime domain.
• Gather, validate, and document business requirements, transforming them into clear, concise user stories and acceptance criteria.
• Analyze existing TM scenarios, workflows, data models, and system behaviors to drive improvements and new solutions.
• Collaborate with cross-functional Agile teams (POs, engineers, QA, data teams) to ensure requirements are well understood and implemented.
• Perform data analysis using SQL to support root-cause investigations, scenario tuning, validation, and impact assessments.
• Work with Compliance, Operations, and Product teams to ensure TM controls meet regulatory expectations.
• Participate in sprint planning, backlog refinement, and solution reviews to ensure timely delivery of high-quality features.
• Support UAT by defining test conditions, reviewing test results, and validating business outcomes.
• Provide subject-matter expertise on AML, KYC, sanctions, and suspicious activity detection processes.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Finance, or related field (or equivalent work experience).
• 8+ years of overall experience in Business Analysis and Data Analysis.
• 5+ years of hands-on experience in Transaction Monitoring / Anti-Financial Crime initiatives.
• Strong ability to translate complex business and regulatory requirements into user stories, functional designs, and solution recommendations.
• Solid experience working in Agile/Scrum environments.
• Proficiency with SQL (ability to write simple to moderate queries for data validation and analysis).
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Excellent communication and stakeholder-management capabilities.

Preferred Skills

• Experience with TM platforms (e.g., Actimize, Mantas, FCRM, Quantexa).
• Knowledge of data modeling, reporting, or analytics tools.
• Understanding of financial products, payments, and customer lifecycle processes.
• Exposure to cloud-based data environments.
• Certifications in AML/Compliance (e.g., CAMS) are a plus.

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