American Express - Manager - Analytics - Risk Oversight

The American Express Oversight - Center of Excellence organization within Global Risk, Banking, and Compliance (GRBC) is responsible for managing risk through continuous monitoring, deep-dive analysis and testing across all business units, processes, and geographies. 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

- Lead a team of highly skilled risk managers

- 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

This role may be subject to additional background verification checks.

Qualifications:

- People leader experience is required

- 4+ 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

- Advanced degree in Computer Science, Math, Statistics, Engineering or similar field of study or equivalent work experience is required.