Job Summary:
We are seeking an experienced Business Analyst with strong domain knowledge in Financial Crime and AML compliance, and hands-on experience in the Quantexa platform.
The successful candidate will work closely with compliance teams, business stakeholders, and technology teams to deliver end-to-end functional solutions across Anti-Money Laundering (AML), Trade Surveillance, and Correspondent Banking programs.
This role involves business requirements gathering, BRD/FSD preparation, functional solution design, data mapping, and supporting the implementation of entity resolution and network analytics in the Quantexa platform.
Key Responsibilities:
Gather and analyze business and compliance requirements for AML and Trade Surveillance initiatives.
Prepare clear and comprehensive Business Requirement Documents (BRDs) and Functional Specification Documents (FSDs).
Design and validate functional solutions for Quantexa platform integrations, including entity resolution, scoring logic, and network analytics.
Conduct gap analysis between current state and target architecture or regulatory expectations.
Translate business needs into actionable technical specifications for development teams.
Support User Acceptance Testing (UAT) by creating test scenarios, validating functionality, and managing defect triage.
Collaborate with technical teams to ensure accurate implementation of functional requirements.
Work with cloud engineering teams to ensure successful deployment of Quantexa solutions on AWS.
Manage change requests and assess impact on existing systems or processes.
Engage stakeholders through workshops, presentations, and regular status updates.
Required Qualifications:
8+ years of experience in the Banking or Financial Services domain, with at least 5 years focused on Financial Crime or AML projects.
Hands-on experience in Quantexa platform (entity resolution, scoring, UI enhancements).
Strong understanding of financial crime compliance processes and regulatory expectations.
Excellent documentation skills (BRD, FSD) and stakeholder management.
Experience in Agile/Scrum environments.
Familiarity with data mapping, data quality, and transformation logic.
Basic understanding of Scala or Spark is a plus (for collaboration with data engineering teams).
Certifications in Quantexa or IBM Data Science are advantageous.
Preferred Certifications (Optional):
Quantexa Certified: Data Engineer, Scoring Engineer, Task Loading Specialist
IBM Data Science Professional Certificate
CAMS or equivalent AML certification (preferred but not required)
Soft Skills :
Strong analytical and problem-solving abilities
Excellent verbal and written communication skills
Ability to work independently and in cross-functional teams
Strong organizational and time management skills