Neha Singh 
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar 
Service Delivery Lead

Rohit Bairagi 
Lead Credit Specialist

Job Description Why American Express? There's a difference between having a job and making a difference. American Express has been making a difference in people's lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards. We've also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they're ready to take on a new career path, we're right there with them, giving them the guidance and momentum into the best future they envision. Because we believe that the best way to back our customers is to back our people. The powerful backing of American Express. Don't make a difference without it. Don't live life without it. Function Description: Position in question is in the Global Collection Decision Science team based out of Gurgaon. Purpose of the Role : The candidate will work on development and enhancement of Customer collections modeling suite and driving the next round of modeling enhancements. Responsibilities: 1. Developing and enhancing existing Collection Models by leveraging best-in-class machine learning techniques 2. Exploring credit bureau, customer contact, and interaction data, to build new modeling attributes as well as models 3. Partnering with Strategy and Operations to develop Data Science Capabilities and other Predictive logic(s) that will help drive next-generation Collection Strategies 4. Periodic Tracking and Performance Monitoring of models and conducting detailed customer case reviews Critical Factors to Success: - Display Learning Motivation - Exhibit Candor in Communication - Follows Result driven approach - Resilience Qualifications : Past Experience: Preferred Past Experience in the analytics industry Academic Background: Master's degree in a quantitative discipline Functional Skills/capabilities : - Strong aptitude to work in a modeling/analytical role - Ability to integrate information from different sources in a coherent manner and interpret data to bring out key trends &amp; identify opportunity areas - Strong verbal, written and interpersonal communication skills Technical Skills/Capabilities: - Experience in SAS, Hive, Python programming/expertise in contemporary Machine Learning techniques Knowledge of Platforms: - Cornerstone, Teradata, Machine Learning Platforms in AXP system Behavioral Skills/Capabilities: Enterprise Leadership Behaviors - Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective - Bring Others With You: Build the Best Team, Seek &amp; Provide Coaching Feedback, Make Collaboration Essential - Do It The Right Way: Communicate Frequently, Candidly &amp; Clearly, Make Decisions Quickly &amp; Effectively, Live the Blue Box Values, Great Leadership Demands Courage Job type- Permanent Industry Type - Operations The Apply Button will redirect you to the website. Please apply there as well. #NOLI

Gurgaon/Gurugram

Haryana

American Express - Business Analyst - Global Collection Decision Science 

American Express - Business Analyst - Global Collection Decision Science  ,Job Description for American Express - Business Analyst - Global Collection Decision Science  in American Express in  Gurgaon/Gurugram Haryana for (3-6) years of experience. Apply Now!

Job Description for American Express - Business Analyst - Global Collection Decision Science  in American Express in  Gurgaon/Gurugram Haryana for (3-6) years of experience. Apply Now!