Roles & Responsibilities
Role Overview
We are seeking an experienced Business Analyst with a strong background in Anti-Money Laundering (AML) transformation or uplift programs. The ideal candidate will bring over 10 years of experience working with banks or consulting firms in the AML domain, with a proven ability to translate business requirements into actionable system and process enhancements. Familiarity with data and AI-driven use cases in compliance or financial crime risk management will be an added advantage.
Key Responsibilities
- Engage with business stakeholders to gather, analyze, and document AML business requirements .
- Lead requirements elicitation, analysis, and validation , ensuring alignment with regulatory objectives and operational priorities.
- Define and document functional and non-functional requirements across AML systems and processes.
- Collaborate with Business Unit Specialists and System Analysts to translate business needs into clear technical deliverables.
- Conduct impact assessments and process analysis to support “to-be” process design and optimization.
- Maintain traceability matrices , manage requirement changes, and mitigate scope creep.
- Prepare Business Requirement Documents (BRDs) , functional specifications, and capability lists in accordance with project standards.
- Partner with solution architects and data teams to ensure seamless system integration and end-to-end alignment.
- Support testing activities (SIT and UAT) by reviewing test cases and validating functional outputs against requirements.
- Develop business release notes and contribute to deployment and change management planning.
- Work with operational teams to establish or refine procedures resulting from AML system changes.
- Provide analytical input into AI and data use cases related to transaction monitoring, KYC, or risk detection.
Required Skills
Minimum 10 years of experience as a Business Analyst or Functional SME within AML / Financial Crime Compliance projects.Proven experience in banking or consulting environments focused on AML transformation or regulatory uplift.Strong understanding of AML processes , including KYC, CDD, TM, Sanctions Screening, and Case Management systems.Solid experience producing BRDs, FSDs, and business process documentation .Hands-on exposure to data analysis and familiarity with data models and governance principles .Strong communication and stakeholder management skills across business and technology teams.Analytical mindset with the ability to think strategically and connect regulatory needs with technology solutions .Preferred Skills
Familiarity with AI or machine learning applications in AML risk management (e.g., predictive alerts, false positive reduction).Experience with AML system migrations or upgrades .Exposure to Agile methodologies and regulatory compliance frameworks .Knowledge of reporting tools, dashboards , and data visualization for AML analytics.Application Note
Interested applicants may send their CV directly to shyam@aryan-solutions.com for consideration.
Tell employers what skills you have
Machine Learning
UAT
Data Analysis
Regulatory Compliance
System Integration
Agile Methodologies
Traceability
Technology Solutions
Banking
AML
Consulting
Business Process
Business Analyst
Case Management
Data Visualization
Business Requirements