American Express Campus Undergraduate – 2020 Credit & Fraud Risk Internship
Purposeful, ambitious, insatiable, analytical, collaborative and courageous are the hallmarks of our Credit and Fraud Risk team. This critical team is responsible for managing 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. This team has delivered industry-leading results year after year while enabling profitable growth and delivering a best-in-class customer experience.
This team is structured under five core functions:
Credit Risk Strategy: Monitor credit portfolios and optimize profit-based risk management decisions at all stages of the customer credit lifecycle
Fraud Risk Strategy: Develop fraud prevention strategies on behalf of our customers
Decision Science: Build predictive models using AI/Machine Learning for all portfolios and products
Risk Capabilities: Develop technical solutions and capabilities to manage data and execute credit and fraud risk strategies
Operation Risk Excellence: Create and execute operational risk strategies to maintain an effective control environment
What Type of Work Will I Do
You will work in a highly dynamic and exciting environment working closely with colleagues in other Risk Management teams, Marketing, Finance, Servicing, Legal, Compliance, Banking, and Technology to create world-class analytical solutions.
The key responsibilities include:
Responsible for providing analytical support to enable billing, revenue growth and profitability through diverse analytical projects.
Expected to develop disciplined monitoring of credit and fraud risk metrics at the portfolio level as well as across the customer life cycle such as underwriting, customer management etc. and perform root cause analyses of concerning trends and identify performance drivers.
Integrating new data sources and capabilities to drive key business decisions
Collaborating with multiple partners including finance and functional teams such as new accounts, customer management.
Collaborate extensively with colleagues to design and implement risk control strategies based on statistical, financial and economic analysis
Maintain an effective control environment and respond to operational breakdowns with discipline
Life at American Express
American Express is known for backing our customers to help them achieve their goals and dreams, big and small. At American Express, we’re changing the way people live and work through meaningful projects with real-world impact. When you join our team you can make a difference by improving the everyday lives of customers around the world.
Why Work at 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 guidance and support.
Because we believe that the best way to back our customers is to back our people.
The powerful backing of American Express.
Don’t make a difference without it.
Don’t live life without it.
Learn more about our Credit & Fraud Risk group at American Express by visiting https://careers.americanexpress.com/students/
What We Are Looking For
Bachelor’s degree from an accredited university with high GPA in a quantitative field such as Data Science, Statistics, Mathematics, Operations Research, Engineering, Computer Science, Econometrics or Physics
Strong analytical and decision making skills – must have the ability to compile, analyze, research, and link complex issues
Proven team skills including the ability to work effectively in a cross-functional environment and across geographical boundaries
Demonstrated ability to work effectively and collaboratively in high pressure situations and handle multiple priority assignments simultaneously – must be a self-starter
Demonstrated experience with SAS, SQL, R, Python or another similar programming languages
Experience working with statistical and data mining techniques, including regression analysis and Machine Learning tools for pattern recognition and predictive analytics preferred
Excellent written and verbal skills, with the ability to effectively communicate at all levels
Willingness to learn and master new systems
Knowledge of MS Office applications required
Currently enrolled in a full-time undergraduate degree program
Students must have a graduation date between December 2020 and June 2021
Tags: USUndergrad, Handshake UNV-12520
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Sep 3, 2019, 9:30:29 AM