Senior Manager, Internal Fraud Detection Analytics

Job description

**Description**
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.

As part of Team Amex, you'll experience this 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.
**Position Overview**
The **Senior Manager, Internal Fraud Detection Analytics** plays a critical role in strengthening American Express’s ability to detect, analyze, and prevent internal fraud.

As part of the **Internal Fraud Rules Strategy** team, this highly skilled individual contributor will design, develop, and optimize analytical models and detection methods that identify anomalous colleague behavior and potential internal fraud risks.
Reporting to the Director, Internal Fraud Detection Analytics, this role serves as a subject matter expert and analytical thought partner, transforming large, complex data sets into actionable intelligence.

The ideal candidate is an experienced fraud data scientist who thrives at the intersection of analytics, risk management, and technology.
**Key Responsibilities**
+ Develop and deploy advanced analytical models, statistical tools, and machine learning techniques to detect internal fraud activity across the enterprise.
+ Analyze large, complex datasets to identify patterns, anomalies, and emerging insider risk behaviors.
+ Translate fraud and operational intelligence into predictive features and detection algorithms.
+ Partner with Technology to implement models and scoring logic into production systems, ensuring scalability, reliability, and performance.
+ Continuously evaluate and refine existing fraud detection models to enhance accuracy, precision, and timeliness.
+ Perform model monitoring and validation to ensure adherence to enterprise model governance standards.
+ Collaborate with the Internal Fraud Risk Identification & Rules Design team to convert analytical insights into rules and scenario logic.
+ Develop data-driven recommendations to reduce false positives and improve overall detection efficiency.
+ Partner closely with Fraud Investigations, Operational Risk, and Compliance to ensure analytical models align with real-world fraud patterns and enterprise controls.
+ Provide analytical support and insights during internal fraud investigations and incident reviews.
+ Work with Data Engineering and Enterprise Data Science teams to identify new data sources and enhance the fraud data environment.
+ Present analytical findings and recommendations to senior stakeholders in a clear, compelling, and actionable manner.
+ Stay current on emerging AI/ML techniques, fraud analytics tools, and insider threat detection methodologies.
+ Contribute to the advancement of analytical capabilities through automation, experimentation, and innovation.
+ Champion the responsible use of AI and data within fraud detection frameworks, aligning with AMEX’s data governance standards.
**Qualifications**
+ Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field required; Master’s preferred.
+ 5–10 years of experience in fraud analytics, data science, or risk modeling, with proven expertise in designing and deploying analytical solutions.
+ Prior experience in internal or employee fraud detection within financial services, payments, or technology industries strongly preferred.
+ Advanced proficiency in programming languages and analytical tools such as Python, R, SQL, SAS, or equivalent.
+ Experience with machine learning, anomaly detection, clustering, and other advanced modeling techniques.
+ Familiarity with big data platforms (Hadoop, Spark, AWS, Databricks) and data visualization tools (Tableau, Power BI).
+ Strong understanding of fraud typologies, control environments, and enterprise risk frameworks.
+ Exceptional analytical, problem-solving, and critical thinking skills.
+ Ability to communicate complex analytical findings in simple, business-relevant terms.
+ High attention to detail, with a disciplined approach to model documentation and governance.
+ Collaborative mindset and the ability to work effectively across analytical, technical, and operational teams.
**Qualifications**
Salary Range: $89,250.00 to $150,250.00 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 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 .
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.
US Job Seekers - Click to view the “ Know Your Rights ” poster.

If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for this position
**Job:** Operations
**Primary Location:** US-North Carolina-Charlotte
**Other Locations:** US-New York-New York
**Schedule** Full-time
**Req ID:** 25019486

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