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You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

About the Internal Audit Group at American Express

Our Internal Audit Group is a worldwide function with 300+ 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 expand 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.

American Express’ Internal Audit Group (IAG) has reinvented our audit process and is leading the financial services industry with our Audit NextGen, Data-Driven Continuous Auditing, and Auditor of the Future initiatives. Each uniquely support our Winning Aspiration to be a world class internal audit function that:

Provides data-driven and technology-enabled assurance
Delivers timely risk insights that are business-aware and forward-looking
Supports our colleagues with experiences that prepare them to be enterprise leaders

Collectively, IAG’s strategic initiatives, combined with our greatest asset – our people – enable IAG to utilize advanced data analysis capabilities, provide greater and continuous assurance, and help ensure quality products and services are provided to American Express customers.

IAG’s innovative Data-Driven Continuous Auditing approach has led to patent-pending technology assets over our uniquely developed audit methodology and technology enablers.

We are looking for those who share our mission and aspirations and are passionate about the use of data and technology in a collaborative, people-focused environment.

Key Responsibilities

Translate business risks, controls and supporting data into analytic requirements and partners with colleagues to build effective analytics and insights
Responsible for multiple simultaneous audit projects of all sizes and complexity across multiple business areas within and outside of local region, in unfamiliar areas, and for different audit leaders
Link analytics and insights to ongoing strategic initiatives
Apply proven/ advanced data algorithms, advanced analytic and modeling techniques to draw insights essential to driving improvement initiatives
Leverage Machine Learning to learn and identify patterns, early warnings, predictions about aspects/ processes touching our customers, from the wide range of Operational, Customer behavior and other structured as well as unstructured data available to us
Writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, etc.
Prototype and simulate use cases for Advanced analytics, ongoing & proactive assessment of analytic results in partnership with relevant teams, leveraging data to tell compelling business stories, with a keen focus on impact & insights

Minimum Qualifications

2+ years’ experience in technology audit or data analytics
Bachelor’s degree in Analytics, Statistics, Operations Research, Computer science, Engineering, or other related fields
Technical experience with analytic coding techniques, visualization tools and creating reporting dashboards
Strong experience in Python environment and libraries (scikit, nltk, pandas and numpy). Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big data environment
Hands on knowledge of SQL/ Hive QL, Visualization tools like Tableau, Power BI
Aptitude for working with data, interpreting results, business intelligence and analytic best practices
Ability to break down a complex problem into components, solve them using data analysis, process knowledge and risk/control knowledge, and communicate data analysis, issues and control recommendations with transparency and integrity
Strong written and verbal communication skills that deliver quality, actionable and beneficial feedback to management on potential control issues and solutions to close gaps

Preferred Qualifications

3+ years of experience in the data and analytics
Extensive business process experience in the financial services industry, including an understanding of related products, services, features, economics and key regulations

Non-considerations for sponsorship: Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Salary Range: $55,000.00 to $105,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

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.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

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.

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Average salary estimate

$80000 / YEARLY (est.)

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$55000K

$105000K

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What You Should Know About Audit Analytics, American Express

Join American Express as an Audit Analytics professional in New York City, where innovation meets dedication! Here at Amex, we celebrate growth and collaboration, ensuring that every team member feels valued and integral to our mission of delivering extraordinary customer experiences. As part of our dynamic Internal Audit Group, you’ll drive meaningful change by utilizing advanced data analytics and machine learning to transform how we assess risks and enhance organizational value. Your role will involve translating complex business risks into actionable insights, managing multiple audit projects across diverse areas, and applying advanced analytic techniques to inform strategic initiatives. With responsibilities that include leveraging data to forecast risks and prototyping use cases for advanced analytics, your expertise will contribute significantly to our forward-thinking audit methodologies. At Amex, we believe in supporting our colleagues with competitive salaries, flexible working options, and comprehensive benefits. If you’re passionate about turning data into impactful stories and thrive in a collaborative environment, we’d love to hear from you. Join us in revolutionizing the audit process and leading the way for a better tomorrow!

Frequently Asked Questions (FAQs) for Audit Analytics Role at American Express

What are the primary responsibilities of an Audit Analytics position at American Express?

As an Audit Analytics professional at American Express, your main responsibilities include translating business risks and controls into analytic requirements, managing multiple simultaneous audit projects, and applying advanced data algorithms to drive insights. You'll also use machine learning to identify patterns and enhance overall risk assessment capabilities, ensuring the quality of products and services for our customers.