Associate-Digital Product Management

You Lead the Way. We ve Got Your Back.

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 values and 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.
Join Team Amex and let's lead the way together.
Team Overview:
Global Credit & Model Risk Oversight, Transaction Monitoring & GRC Capabilities (CMRC) provides independent challenge and ensures that significant Credit and Model risks are properly evaluated and monitored, and Anti-Money Laundering (AML) risks are mitigated through the transaction monitoring program. In addition, CMRC hosts the central product organization responsible for the ongoing maintenance and modernization of GRC platforms and capabilities.
How will you make an impact in this role?
The AML Data Capabilities team was established with a mission to own and govern data across products raw data, derivations, organized views to cater for analytics and production use cases and to manage the end-to-end data quality. This team comprises of risk data experts with deep SME knowledge of risk data, systems and processes covering all aspects of customer life cycle.
Our mission is to build and support Anti-Money Laundering Transaction Monitoring data and rule needs in collaboration with Strategy and technology partners with focus on our core tenets of Timeliness, Quality and process efficiency.
Responsibilities include:

• Develop and Maintain Organized Data Layers to cater for both Production use cases and Analytics for Transaction Monitoring of Anti-Money Laundering rules.
• Manage end to end Big Data Integration processes for building key variables from disparate source systems with 100% accuracy and 100% on time delivery
• Partner closely with Strategy and Modeling teams in building incremental intelligence, with strong emphasis on maintaining globalization and standardization of attribute calculations across portfolios.
• Partner with Tech teams in designing and building next generation data quality controls.
• Drive automation initiatives within existing processes and fully optimize delivery effort and processing time
• Effectively manage relationship with stakeholders across multiple geographies
• Contribute into evaluating and/or developing right tools, common components, and capabilities
• Follow industry best agile practices to deliver on key priorities
• Ensuring process and actions are logged and support regulatory reporting, documenting the analysis and the rule build in form of qualitative document for relevant stakeholders.

Minimum Qualifications

• Academic Background: Bachelor s degree with up to 2 year of relevant work experience
• Strong Hive, SQL skills, knowledge of Big data and related technologies
• Hands on experience on Hadoop & Shell Scripting is a plus
• Understanding of Data Architecture & Data Engineering concepts
• Strong verbal and written communication skills, with the ability to cater to versatile technical and non-technical audience
• Willingness to Collaborate with Cross-Functional teams to drive validation and project execution
• Good to have skills - Python / Py-Spark
• Excellent Analytical & critical thinking with attention to detail
• Excellent planning and organizations skills including ability to manage inter-dependencies and execute under stringent deadlines
• Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities

Behavioral Skills/Capabilities: Enterprise Leadership Behaviors
Set the Agenda:

Ability to apply thought leadership and come up with ideas

Take complete perspective into picture while designing solutions

Use market best practices to design solutions

Bring Others with You:
Collaborate with multiple stakeholders and other scrum team to deliver on promise

Learn from peers and leaders

Coach and help peers

Do It the Right Way:

Communicate Effectively

Be candid and clear in communications

Make Decisions Quickly & Effectively

Live the company culture and values