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Manager / Senior Manager - Risk Management
American Express
New York, NY, United States
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The Global Risk Oversight organization within Global Risk, Banking, and Compliance (GRBC) is responsible for managing risk through continuous monitoring, reviews and testing across all business units, processes, and geographies in American Express. As an innovative organization, the team’s charter is to strengthen risk management through the latest advances in data science and technology.
We are seeking an experienced Risk Manager to be a part of the evolution for the next-generation of risk management and capabilities. The successful candidate will apply their expertise in the field of advanced analytics to identify risk and derive actionable insights across operational and compliance risk. The candidate will work with a diverse set of internal and external data as well as structured and unstructured data to develop advanced statistical and machine learning models. The incumbent will have a deep appreciation for risk management techniques and an affinity for data and analytics.
Key Responsibilities
• Assemble and cluster a rich variety of data sources such as internally generated transaction and complaint data, and external data from specialized data providers (e.g. social media, Bloomberg)
• Analyze, model and manage both structured and unstructured data using advanced statistical and machine-learning methods
• Utilize a diverse set of technologies and tools (e.g. R, SAS, Python, Hadoop, Hive, Spark, Tableau) to derive risk-related insights across many processes (e.g. Acquisition, Customer Servicing, Fraud, Information Security) and risk types (operational and compliance)
• Conduct independent risk assessments across various processes to identify potential emerging risks and performance issues
• Define and develop comprehensive key risk indicators and key performance indicators to support comprehensive monitoring across risk types
Qualifications
• 0-3 years of experience with data-driven analytics using both statistical and machine learning techniques. Experience in financial services and risk management is a plus.
• Extensive experience with tools such as Python, Hadoop, R, SAS, SQL, Hive, Spark, MapReduce
• Effective communicator capable of explaining a complex problems and ideas clearly and succinctly Results-driven individual who likes challenging work
• Ability to work in a highly collaborative environment
• Attention to details with ability to see the forest for the trees
• Bachelors degree
• Advanced degree in Computer Science, Math, Statistics, Engineering or similar field of study or equivalent work experience is required.
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.
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.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.