Neha Singh 
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar 
Service Delivery Lead

Rohit Bairagi 
Lead Credit Specialist

Job Description : Function Description : - The CFR team helps drive profitable business growth by reducing the risk of fraud and maintaining our customers' confidence in the security of our products. It utilizes an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending and provide a world-class customer experience. - The team leads efforts that leverage data and digital advancements to improve service and risk management as well as enable commerce and drive innovation. CFR is responsible for developing and monitoring statistical models for predicting individual and commercial' behaviors such as credit risk, fraud risk, spending and revolve. These models are used for key business decisions made across the customer life cycle to manage risk and rudently take and manage risk in a viable way Purpose of the Role : Partner with Risk colleagues to develop world class big data based warehouse. Responsibilites : The responsibilities includes but not limited to : - Owns the delivery of risk variables derivation, organization and rollout on proprietary Cornerstone/ODL platform using Big Data Tools and Framework - Writes code and unit tests, automation, and conducts code reviews and testing - Provide direction and mentorship to group of programmers / analysists per demand - Contribute into evaluating and/or developing right tools, common components, and capabilities - Develops deep understanding of business logic, intent and long term objectives to align priorities and develop long life solutions. - Identify, evaluate and Mitigate Risks - Identifies opportunities to adopt innovative technologies - Provides continuous support for ongoing application availability Critical Factors to Success : Business Outcomes : - Design and Develop the next generation of data warehouse (Cornerstone) for Risk. Lead the development of Organized data layer using centralized data definitions. - Drive capabilities innovation & resultant business growth by applying existing & emerging technologies to deliver against customer goals Leadership Outcomes : - Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers,partners, colleagues & shareholders. - Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings - Graduate/Post Graduate in Computer Science or related streams Qualifications : Past Experience : - 2-4 years relevant experience Preferred Functional Skills/Capabilities : - Strong Understanding of Risk Systems - Understanding of Project Management (Agile) - Advanced data modelling techniques - Understanding of warehousing Technical Skills/Capabilities : - Hive / Spark/ Python - Strong SQL skills - PySpark Knowledge of Platforms : - Amex Data Systems - Cornerstone/ Teradata warehouse/CAS / GAM/GNA / GCAP 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 & Provide Coaching Feedback, Make Collaboration Essential - Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage Job type- Permanent Industry Type - Technology The Apply Button will redirect you to website. Please apply there as well. #NOLI

Gurgaon/Gurugram

American Express - Assistant Manager - Credit Fraud & Risk Analytics 

American Express - Assistant Manager - Credit Fraud & Risk Analytics  ,Job Description for American Express - Assistant Manager - Credit Fraud & Risk Analytics  in American Express in  Gurgaon/Gurugram for (2-4) years of experience. Apply Now!

Job Description for American Express - Assistant Manager - Credit Fraud & Risk Analytics  in American Express in  Gurgaon/Gurugram for (2-4) years of experience. Apply Now!