American Express—Analyst-Compliance

Job description

Description: American Express’ Global Financial Crimes Compliance (“GFCC”) team is responsible for leading the enterprise-wide Anti-Money Laundering, Sanctions, and Anti-Corruption compliance functions. This team has global responsibility for identifying, investigating, and reporting suspicious activity, including money laundering and terrorist financing, and provides broad analytical and operational support for the company’s enterprise-wide AML function. GFCC is part of the broader Global Risk & Compliance organization. The GFCC Program Oversight and Risk Management team collaborates with GFCC and other compliance and business partners to bolster the global financial crimes compliance program through program monitoring, enhancements, governance, and risk management for GFCC by developing, overseeing, and executing on reporting, project and issue management, and risk rating and assessments. Team responsibilities include oversight of projects managed across GFCC and external teams; oversight and coordination of Operational Risk Events; management and oversight of formal and internal management reporting, metrics, and identification of key risk indicators; managing development of processes and controls to ensure efficiency and sustainability; and management and execution of the centralized GFCC risk assessment process for the customer risk rating and money laundering risk assessment. Requirements: Minimum Qualifications - Proficiency in Microsoft Excel, including advanced functions such as VLOOKUP, pivot tables, and data analysis techniques. - Self-starter with the ability to take initiative and work independently. - Excellent time management skills with the ability to manage multiple tasks, proactively identify and address challenges, prioritize tasks, and meet deadlines in a dynamic work environment. - Strong analytical ability, including proficiency in interpreting and analyzing large sets of data. - Ability to make well-informed decisions based on thorough analysis and critical thinking. - Strong problem-solving skills with the ability to think creatively and propose innovative solutions to complex problems. - Proven track record of working collaboratively with the ability to build positive relationships and contribute to collective goals. - Excellent communication skills, both written and verbal, with the ability to effectively articulate findings and recommendations to diverse audiences. Preferred Qualifications - Strong SQL skills with the ability to write complex queries and perform data manipulation tasks. - Professional certification (e.g. Certified Anti-Money Laundering Specialist (CAMS)) a plus. Previous experience in AML compliance, financial crimes investigation, or related roles within the financial services industry. Responsibilities: Responsibilities in this role will include a combination of the following: - Own configuration and management of the India Customer Risk Rating (CRR) model in Jocata, which risk rates every customer for anti-money laundering risk. - Ensure India CRR configuration remains consistent with enterprise wide CRR methodology while enabling India specific customizations where required. - Collaborate with Line of Business and Market Compliance Officers (MCOs) to identify changes to the CRR to risk rate customers. - Lead annual India CRR Certification to ensure configuration is in alignment with the regulatory requirements. - Being the point of contact with Jocata and MCOs on India side changes. - Escalate and track any delays, defects, or configurations gaps on Jocata grid, working with product team and internal technology as needed. - Own and maintain the backlog of requirements and enhancements that fall outside the day 0 build, working with product and Jocata teams to confirm scope and priority. - Assess the impact of each post go live change and validate results before production release. - Maintain working knowledge of how the platform’s data sets and lookups are structured, to give informed input to Jocata. - Execute simulation runs in sandbox environments to test scoring logic and validate results before production implementation. - Analyze large sets of data to validate results and identify drivers of customer risk. - Document and communicate results and observations to stakeholders. - Prepare documentation when the changes are implemented to production. - Provide support to stakeholders and business partners.