Campus Graduate - 2025 Credit & Fraud Risk, Decision Science Summer Internship New York, NY ID-12786

**You Lead the Way. Weve 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, youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

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At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success. Together, well win as a team, striving to uphold our company values and powerful backing promise to provide the worlds best customer experience every day. And well 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.

**Business Unit/Role Specific Info**

As a Data Science colleague, you have the opportunity to make your mark on technology and life at American Express. Youll be challenged everyday as we work together to create digital products and develop actionable data-driven insights to meet the customers of tomorrow. It is an exciting opportunity for someone who wants to help shape digital experiences for one of the worlds top brands.

Where are these roles located within American Express?

**Global Decision** **Science** : Data Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry standard processes when it comes to developing the analyses, models, and algorithms that power our customers digital experiences.

This vital team is responsible for leading enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

**How Will You Make an Impact in This Role** **?**

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

What type of work can you expect to do in Data Science at American Express?

The specific job responsibilities would depend on the team you are selected in for a summer internship role. Broadly the role could entail some of the below listed responsibilities:

+ Work with extensive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.

+ Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customers online and mobile app experiences.

+ Develop insights into customer behavior and introduce new directions to transform complex behavioral data into useful information

+ Bring to bear the power of closed loop through Amex network to make decisions more intelligent and relevant

+ Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

**Minimum** **Qualifications**

+ Currently enrolled in a full-time Masters/PhD degree program in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience using sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.

+ Students must have a graduation date between December 2025 and June 2026

**Preferred Qualifications**

+ Passion for improving end-to-end customer experience, innovation and customer first thinking

+ Proven track record to frame business problems into mathematical programming problems to engineer a solution and deliver business insights

+ Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent)

+ Ambitious thinker whos organized, has excellent attention to detail, and can multi-task

+ Ability to blend big picture thinking with fine details and lead many stakeholders

+ Willing to try new things, experiment, and share fresh perspectives

+ Proficient in presentation tools, including Excel and PowerPoint

+ Excellent written and verbal communication skills

Our team will review completed applications on a rolling basis. We appreciate your patience while we consider your application and will be in contact with you.

**Qualifications**

Salary Range: $38.45 to $87.00 hourly sign-on bonus

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

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

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

+ Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex

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

+ Free and confidential counselling 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.

US Job Seekers/Employees - Click here to view the Know Your Rights poster and the Pay Transparency Policy Statement.

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