You Lead the Way. We’ve Got Your Back. 
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team
 Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our
 customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s
 unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. 
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 from a Tier -1 Institute, 1-2 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 

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means
 we prioritize their physical, financial, and mental health through each stage of life. Benefits include: 
- Competitive base salaries 
- Bonus incentives 
- Support for financial-well-being and retirement 
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
- Generous paid parental leave policies (depending on your location) 
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
- Free and confidential counseling support through our Healthy Minds program 
- Career development and training opportunities 
American Express is an equal opportunity employer and makes employment decisions without regard to race, color,
 religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status
 protected by law. 
Offer of employment with American Express is conditioned upon the successful completion of a background verification
 check, subject to applicable laws and regulations.