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Description

You Lead the Way. We’ve Got Your Back.

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible - and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.

Function Description:

With a focus on digitization, innovation, and analytics, the Enterprise Digital Analytics (EDA) team creates central, scalable platforms and customer experiences to help markets for all these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of EDA is the integration of diverse skills across all its remit. EDA has a very broad range of responsibilities, resulting in a broad range of initiatives around the world.

Role Description

The role will be part of Commercial Product Analytics and Customer Engagement team, within Global Commercial Analytics (GCA), under EDA. The team will specifically focus on Business Financing and Payment product analytics and partner closely with GCS product teams. The incumbent would lead analyses to inform product innovation, improve feature relevance, and deepen relationships with customers. The ideal candidate will leverage big data capabilities, advanced analytical techniques and statistical learning to glean customer insights; developing innovative strategies to drive revenue growth and to improve customer experience.

Responsibilities

• Product analytics spanning Business Financing, Supplier Payment, and Commercial Banking products

• Develop analytics to drive new product launch strategy, optimization of product design such as pricing and incentives, and enhancement on customer experience, etc.

• Demonstrate technical leadership to accelerate adoption and usage of ML/ AI tools

• Devise analytical solutions to increase efficiency, delivery throughput and analytical scalability

Qualifications

• Strong and proven analytical background with hands-on experience with ML/ AI techniques

• Proficiency with advanced analytical tools such as Python, PySpark, Hive, etc.

• Project management skills with demonstrated ability to drive multi-stakeholder projects

• Strategic thinking and problem solving

• Strong written and verbal communication skills

• Advanced degree in quantitative field (e.g. Statistics, Econometrics, Engineering, Mathematics) or MBA with analytic experience preferred

• Experience in commercial lending and payments is a plus.

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.

Job: Risk

Primary Location: US-New York-New York

Schedule Full-time

Req ID: 21000709