Manager-Compliance -The US Special Investigations - Data Support & Intelligence

The US Special Investigations - Data Support & Intelligence Manager will be responsible for providing data, queries, and analytical support for urgent financial crime investigations. This role will translate investigative needs into targeted queries and actionable outputs that enable analysts and leadership to respond quickly to high-priority investigative requests. This role plays a key part in ensuring that the team's critical investigations have robust data and analytics support and that its deep expertise is effectively integrated into GFCC's production systems.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Minimum Qualifications:

• 6+ years of work experience in data-centric roles at a financial institution in one of the following areas: Anti-Money Laundering/Suspicious Activity Reporting, Cyber Security, Fraud Investigations, or Law Enforcement support

• Demonstrated experience using SQL (3+ years)

• Ability to communicate findings clearly and quickly to technical and non-technical stakeholders

• Ability to handle sensitive information in a confidential and professional manner

• Ability to manage multiple projects simultaneously while effectively collaborating with stakeholders outside of direct reporting lines

• Bachelor's degree

Preferred Qualifications:

• Master's Degree or other advanced degree

• CAMS certified or equivalent is preferred

• Demonstrated experience in statistical programming (3+ years using Python)

• Excellent analytical skills with a solid understanding of statistics, data mining, and network-analysis techniques

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Responsibilities

• Provide data querying and analytical support to analysts conducting time-sensitive financial crime investigations

• Triage urgent investigative requests, assess data needs, and prioritize work based on risk, deadlines, and stakeholder impact

• Construct and run advanced queries against transaction and customer data to quickly identify patterns, anomalies, networks, and potential suspicious activity

• Respond to ad hoc data pull requests to support business and/or compliance efforts

• Maintain clean code and documentation to improve response times, consistency, and alignment

• Represent the team in design conversations with Operations Enablement and other stakeholders to translate data and investigative expertise into effective improvements to production systems

Responsibilities

• Provide data querying and analytical support to analysts conducting time-sensitive financial crime investigations

• Triage urgent investigative requests, assess data needs, and prioritize work based on risk, deadlines, and stakeholder impact

• Construct and run advanced queries against transaction and customer data to quickly identify patterns, anomalies, networks, and potential suspicious activity

• Respond to ad hoc data pull requests to support business and/or compliance efforts

• Maintain clean code and documentation to improve response times, consistency, and alignment

• Represent the team in design conversations with Operations Enablement and other stakeholders to translate data and investigative expertise into effective improvements to production systems