Grace Hopper Conference - Campus Graduate Data Science Summer Internship

Key Skills

Aartificial intelligence, C++, Data science techniques, Deep Learning, Machine learning techniques, Python Programming, R Programming, SAS, XGBoost

Job Description

How will you make an impact in this role?

The Model Risk Management Group (MRMG) is responsible for oversight of model risk and governance over machine learning usage enterprise wide. The role will be primarily responsible for the review of credit risk, fraud risk, and line management models for the US market. The responsibilities of the individual are also to ensure that there is an elevation of modeling as well as fulfilling regulatory requirements for model risk management (SR 11-7). This is a highly competitive role and one that ensures the individual achieves maximum potential intellectually as well as for the company. 

This role will report to a director in MRMG. The specific responsibilities include:

• Oversee credit risk, fraud risk, and line management models which include evaluating conceptual soundness, data quality, performance validation, and on-going monitoring.
• Document detailed model review reports and prepare for regulatory and internal audit reviews.
• Communicate model review results to business partners, senior leaders, and regulators.
• Evaluate machine learning algorithms and their application on models.
• Enhance governance framework to accommodate the evolving modeling techniques, model development, as well as model risk management.

Qualifications

• Advanced degree in quantitative fields
• Hands-on modeling experience is preferred
• The qualified candidate should have a good understanding of machine learning algorithms (e.g., gradient boosting machine, XGBoost, neural network), artificial intelligence, deep learning as well as classic statistical modeling techniques and assumptions.
• Experience in large data processing and handling is a plus—familiarity with big data platforms and applications, such as Hadoop, Pig, Hive, Spark, AWS.
• Must be skilled in coding using SAS and/or Python/R; additionally, Java, Scala, and C++ a plus.
• Strong communication and written skills
• Flexibility and adaptability to work within tight deadlines and changing priorities

Minimum Requirements:

• Currently enrolled in full-time master’s, MBA or PhD degree program
• Students must have a graduation date between December 2024 and June 2025
• Must be registered to attend Grace Hopper Conference

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 after the application deadline

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

The above represents the expected hourly pay 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
• 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.

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.

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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