Manager - Data Analytics

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.

Manager, Enterprise Audit Analytics

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.

Why American Express?

There’s a difference between having a job and making a difference.

American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.

We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision.

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
• Extensively support other Managers/ team members with Subject matter expertise and process knowledge to help make insights extremely relevant and actionable for our business partners
• Significantly contribute towards adoption and application of cutting edge techniques and software paradigms (available internally & externally) by continuously learning, researching and experimenting

Minimum Qualifications

• Bachelor's Degree
• At least 3+ of experience in data and analytics
• Technical experience with analytic coding techniques, visualization tools and creating reporting dashboards
• Experience with advanced analytic methods, such as machine learning, forecasting, cluster analysis, or pattern matching
• Track record of analyzing multiple sources of data to distill insights and drive business outcomes to help improve Customer Satisfaction
• Self-starter along with passion for continuous Innovation with a view to drive organizational improvements & impacts
• Excellent story telling and visualization skills
• Hands on knowledge of SQL/ Hive QL
• Extensive business process experience in the financial services industry, including an understanding of related products, services, features, economics and key regulations
• 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
• Ability to lead and manage multiple projects and incorporate developmental feedback across deliverables

Preferred Qualifications

• 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
• Visualization tools like Tableau, Power BI
• Master’s degree in Analytics, Statistics, Operations Research, Computer science, Engineering, or other related fields

Salary Range: $90,000.00 to $165,000.00 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.

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