Senior Auditor

About the Internal Audit Group at American Express:

Our Internal Audit Group is a worldwide function with 400+ team members and offices across nine countries within American Express. Our mission is to protect and enhance organizational value by providing independent, objective, risk-based assurance, advisory services and to influence the way the company manages risk.

We are committed to growing our audit staff significantly as we continue to and enhance the Internal Audit Group. Our assurance and risk professionals have diverse backgrounds including internal controls, consumer compliance, technology, operational risk, financial accounting, data analytics, and banking operations. Our audit teams align to key risk areas and business units to ensure IAG can provide comprehensive and risk-based audit coverage. In addition, IAG has a Professional Practices group responsible for managing audit operations, quality, and standards; regulatory relations; reporting; training and professional development; and key internal capabilities and technologies.

About the Role:

This Senior Auditor role supports the Internal Audit Group’s assurance coverage for Data Science, Model Risk, and Gen AI. The colleague will contribute to audit engagements by supporting planning and execution activities, evaluating control design and effectiveness, and providing actionable insights that strengthen model governance, model lifecycle management, validation, performance monitoring, and model risk assessment practices.

About the Team:

Our Data Science and Model Risk/AI team plays a critical role in supporting Internal Audit by providing specialized assurance over models and AI/Gen AI solutions used across the enterprise. We deliver independent, risk-based evaluations that help auditors gain a clearer understanding of how models and AI are developed, governed, validated, and deployed within the business. By combining quantitative expertise with business and regulatory knowledge, the team helps uncover model risks, assess governance practices, and highlight opportunities to strengthen controls - ultimately enhancing the depth, rigor, and quality of Internal Audit's coverage over AI and model risk.

Bachelors in statistics, mathematics, economics, finance, accounting, computer science, data science, engineering, or another analytical field.

3+ years of relevant experience, including internships in internal audit, model risk, risk management, compliance, data analytics, quantitative analysis, or financial services.

Basic understanding of:

Model lifecycle: development, implementation, validation, use, monitoring, and retirement

Internal controls, risk assessments, control testing, and audit evidence

Fundamental statistical modelling such as regression, sampling, hypothesis testing, performance metrics, and data quality

AI/ML techniques, data analytics

Working ability in Excel and at least one analytical tool - preferably SQL or Python.

Strong written communication: able to document testing, explain an issue clearly, and distinguish evidence from opinion.

Demonstrated critical thinking, professional skepticism, attention to detail, and willingness to challenge appropriately.

Preferred Qualifications:

Audit experience or model development / validation, experience

Prior experience working at a Big Four / G-SIB

CIA, FRM, CPA, CISA, or similar certification progress

Understanding of model and AI risk management framework, governance, controls, validation, monitoring, and related regulatory guidance, such as SR 26-2, OCC guidance, or comparable standards.

Exposure to credit risk, market risk, pricing, valuation, operational risk, stress testing, CECL, or other enterprise risk models.

Experience with data analytic tools, data visualization, key risk indicators (KRIs), key performance indicators (KPIs), information systems / technology, and scorecards / dashboards, etc.

Interest in working with data, interpreting results, analytic best practices and experience with data analytics tools and data visualization

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

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.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries

Bonus incentives

6% Company Match on retirement savings plan

Free financial coaching and financial well-being support

Comprehensive medical, dental, vision, life insurance, and disability benefits

Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy

Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

Free and confidential counseling support through our Healthy Minds program

Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.