Job Description*
Support Financial Crimes data architecture initiatives, including defining business and data requirements, data sourcing, integration, modeling, governance, and consumption frameworks. Collaborate with AML, Customer Risk Rating (CRR), and other compliance stakeholders to design scalable data solutions. Drive AI enablement through setup of custom GPT solutions and support future AI-driven
Relevant Experience*
Proven experience as a Data Architect in Financial Crimes, AML, Risk, Compliance, or Banking domains. Expertise in enterprise data architecture, data governance, data modeling, and integration. Experience working with AML, KYC, CRR, Sanctions, Screening, and Investigations stakeholders. For the AI-focused role, hands-on experience with Generative AI, Custom GPTs, or AI-powered business solutions is preferred.
Mandatory skills*
Enterprise Data Architecture and Data Modeling. Data Governance, Data Quality, and Data Lineage. Data Integration and Consumption Frameworks. Financial Crimes (FCRM) domain expertise. AML, KYC, CRR, Transaction Monitoring, and Investigations knowledge. Business and Data Requirements Gathering. Stakeholder Management and Communication
Desired skills*
Experience with AMEX GFCC processes, systems, and data requirements. Generative AI / LLM experience. Custom GPT setup and implementation. Rally, Jira, and Agile delivery methodologies
Domain (Industry)*
Banking & Financial Services – Risk & Complianc
Total Experience (Ex. 5-7 Years)*
9–20 years
