Neha Singh 
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar 
Service Delivery Lead

Rohit Bairagi 
Lead Credit Specialist

Job Description Function Description: A single decision can have many outcomes. And when that decision affects hundreds of thousands of customers and employees, it needs to be the right one. That's where our Enterprise Credit &amp; Fraud Risk Management and Enterprise Digital &amp; Analytics teams comes in. CFR &amp; EDA are the backbone of all financial services operations at American Expressit impacts every aspect of the company. As a part of this team, you- ll work with the industry's top CFR &amp; EDA teams to create smart but innovative strategies that advance our market share and the way we do business. If you- re interested in getting to know all areas of our business and can translate our business needs into remarkable solutions, you should consider a career in CFR &amp; EDA. Job responsibilities: There are three Job families within Enterprise Credit &amp; Fraud Risk Management and Enterprise Digital &amp; Analytics teams. Specific job responsibilities vary as per the Job family. 1. Decision Sciences: - Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing 2. Strategy and Insights: - Development, review and/or execution of economic logic &amp; analytical solutions to drive profitable marketing or credit business actions. 3. Product and Capabilities: - Development and deployment of best-in-class solutions in partnership with Decision Science and Strategy teams, while leveraging cutting edge technology and platforms Responsibilities: - Analyze large amounts of data to derive business insights and create innovative solutions - Leverage the power of closed-loop through Amex network to make decisions more intelligent and relevant - Innovate with a focus on developing newer and better approaches using big data &amp; machine learning solutionCritical Factors to Success: 1.Business Outcomes: - Drive billing, revenue growth, and profitability through advanced analytical techniques - Maximize business returns by institutionalizing efficient and accurate models. - Innovate Modeling Techniques and Variable creation - Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning 2. Leadership Outcomes: - Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues &amp; shareholders. - Lead with an external perspective, challenge the status quo and bring continuous innovation to our existing offerings - Demonstrate learning agility, make decisions quickly and with the highest level of integrity - Lead with a digital mindset and deliver the world's best customer experiences every day Qualifications Past Experience: 0-4 years experience in analytics, big data workstreams Academic Background: - MBA, Master's Degree In Economics, Statistics Or Related Fields From Top Tier Institute Functional Skills/Capabilities: - Ability to drive project deliverables to achieve business results - Ability to work effectively in a team environment - Strong communication and interpersonal skills - Ability to learn quickly and work independently with complex, unstructured initiatives - Ability to Integrate With Cross-Functional Business Partners Worldwide - Good Programming skills are a must - Knowledge of SAS, Java, Hive, Pig, Python, SQL is a plus - Knowledge of MS Office - PowerPoint, Excel Technical Skills/Capabilities: 1. Analytics &amp; Insights &amp; Targeting - SAS, R, Python, Hive, Pyspark, SQL - Advanced Statistical Techniques - Hands on programming and ability to design 2. Data Science/Machine Learning/Artificial Intelligence - Expertise in Coding, Algorithm, High Performance Computing - Unsupervised and supervised techniques - : active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering - Gradient boosting machines, self-reinforcing algorithms Knowledge of Platforms: Big Data - Cornerstone, Teradata 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 website. Please apply there as well. #NOLI

Gurgaon/Gurugram

Haryana

American Express - Business Analyst/Manager - Risk & Digital Analytics 

American Express - Business Analyst/Manager - Risk & Digital Analytics  ,Job Description for American Express - Business Analyst/Manager - Risk & Digital Analytics  in American Express in  Gurgaon/Gurugram Haryana for (0-4) years of experience. Apply Now!

Job Description for American Express - Business Analyst/Manager - Risk & Digital Analytics  in American Express in  Gurgaon/Gurugram Haryana for (0-4) years of experience. Apply Now!