American Express Careers

Mgr/Sr Mgr - Model Risk Quantitative/Data Scientist

New York, New York
Operations Risk Management

Apply Get Referred

Job Description

Model Risk Management Group (MRMG) is a group within the Global Risk Oversight Organization reporting into the Chief Risk Officer (CRO) of American Express and American Express National Bank. MRMG is responsible for the oversight of all models used in the company ranging from Credit and Fraud risk; Finance, regulatory (CCAR), Economic Capital, Anti-Money Laundering, Marketing response and acquisition. The  role being advertised of Manager MRMG is primarily responsible for the review of credit risk, fraud risk, and line management models for the US market. The responsibilities of the manager 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.

 

Specific responsibilities include:

  • Independently validate enterprise-wide models including credit risk, fraud risk, line management, and marketing campaign models

  • Communicate validation results to business partners, senior leaders, and regulators

  • Evaluate new machine learning algorithms as applied to models

  • Conduct analytics to explore opportunities for elevating model excellence

  • Understand and apply regulatory requirements for model risk management

Qualifications

  • Economic, financial, mathematical or Statistical modeling knowledge and experience required

  • The candidate must have a sufficient understanding of new emerging techniques 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 writing skills to explain complex model properties and evaluation results to business partners and external audience who may not have extensive quantitative backgrounds.

  • Flexibility and adaptability to work within tight deadlines and changing priorities.

  • Master's degree in statistics, mathematics, or related experience. A PhD would be ideal.

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.  



ReqID: 19016993
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Sep 13, 2019, 2:20:03 PM
Apply Get Referred