Manager Operations Excellence

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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 valuesand 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.

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Function Description

The Digital Labs Monitoring team will be the First Line of Defense (FLoD) team with a mission to enable business growth and objectives while maintaining a strong control environment. The team acts as a Center of Excellence (CoE) within the business, and assists in the identification, measurement, monitoring, and management of Operational Risks related to the business products and processes for products developed/assisted by Digital labs team. Operational risk is the risk to the current or projected business objectives and resilience arising from inadequate or failed internal processes or systems, human errors or misconduct, or adverse external events.

The team’s scope will include multiple business verticals across US & International Consumer landscape.

In line with Amex’s “three lines of defense” approach to risk management, the FLoD Operational Excellence team actively works with Second Line of Defense and Third Line of Defense teams to ensure adequate implementation of risk management framework requirements.

Role Requirements:

The Manager, Operational Excellence – Amex Digital Labs is a high-impact role that will support the expansion of an automated control testing program.

The role will understand critical business processes, conduct data analysis, and will support the development of Key Risk Indicators (KRIs) for automated, near real-time risk monitoring as part of the Smart Monitoring capability.

The role will lead advanced development / coding strategies implementation and support deduction of significant insights from generated algorithmic output.

To achieve program outcomes, the role will also collaborate extensively with colleagues from various teams to drive key deliverables e.g. GRBC, Loyalty, Technology, Product Management, and Compliance.

Responsibilities:

Set the agenda by creating and implementing best methods and standards for Analyst colleagues supporting KRI development and data exploration.

Mentor and train new hires and early tenure team members through communicating role expectations and standards, leading job shadowing, and overseeing quality of deliverables from new team members.

Responsible for generating significant insights to be presented to key business partners.

Lead exploration of complex data environments in both US and International Consumer. Create recommendations and strategies for using data findings to build efficient KRIs.

Partner with colleagues from the Risk Detection and Analytics team, Operational Excellence, capabilities owners, and product/process owners in the Consumer organization to understand testing automation needs.

Write KRI code by using appropriate data after understanding detailed workflow of business processes, reviewing output of back-dated-testing, and refining the logic to ensure that KRIs are become more efficient continually.

Support business partners in researching and providing guidance on identifying “true” issues versus false positives, and closing alerts generated by KRIs.

Identify relevant, observations, high residual-risk areas, and emerging risk themes.

Exemplify strength in the American Express Leadership Model: Setting the agenda, bringing others with them, doing things the right way and putting enterprise first.

Qualifications:

·4+ year of experience in data-driven analytics

·Experience in financial services and risk management preferred.

·Postgraduate degree in Statistics/Mathematics/Economics/Engineering/Management preferred.

·Knowledge of risk management and key credit risk / operational risk metrics

·Proficient in

oIdentifying root cause of the problems / potential solution opportunities at hand

oGather information on process flow, data, system, and related losses / events

oUse data analytics to identify root cause (if applicable) and size the opportunities / problems (if applicable)

·Be able to solve business problems in complex and unstructured environment

·Teammate with strong communication skills, and ability to develop relationships with colleagues.

·Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously.

·Experienced in compiling information and developing insightful materials for leadership presentation.

Technical Skills/ Capabilities: