Company Description
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
Team Summary
What the Manager Fraud Risk, Consulting & Analytics does at Visa : The VCA Risk Advisory Practice team delivers Risk advisory services to Visa's clients (Issuers, Acquirers, and Merchants) across Credit and Fraud Risk. The Manager Fraud Risk reports to the Director Fraud Risk, India Hub, and contributes to Fraud Risk advisory engagements. This role requires expertise in Fraud Risk and risk analytics, gained as a Risk practitioner or data scientist within a bank or consulting firm. We seek a motivated, analytically minded individual with a proven track record of leveraging Risk expertise to unlock business value.
Key Responsibilities
- Contribute to Fraud Risk advisory engagements across Asia Pacific.
- Collaborate with clients to understand business problems and outcomes.
- Manage end-to-end delivery of multiple projects within scope, timelines, and budget.
- Maintain high-quality project documentation and deliverables.
- Develop data-driven Fraud Risk solutions (Authorization, Fraud Optimization, Prediction / Scoring).
- Support the development and standardization of Fraud Risk consulting methodologies.
- Participate in expanding Fraud Risk Managed Service offerings.
Work Environment
This is a hybrid position, requiring employees to work from the office two days a week (Tuesdays and Wednesdays), with flexibility to accommodate client and country time zones, especially across Asia Pacific.
Projects
This role involves working on strategic projects such as :
Authorization OptimizationSTIP OptimizationFraud Strategy & Process OptimizationFraud Risk Prediction / ScoringFraud Rule OptimizationQualifications
10+ years of analytical experience applying statistical solutions to business problems.Graduate / Postgraduate degree in Statistics, Mathematics, Computer Science, Economics, or related fields.Hands-on experience with SAS, Hadoop, SQL, Python.Proficiency in statistical techniques like Regression, Decision Trees, Neural Networks, Clustering, etc.Experience in fraud risk analytics, model development, validation, governance, and automation.Preferred : Banking / consumer lending industry experience and domain expertise in Fraud Risk Management.Business Skills
Results-oriented with strong analytical and problem-solving skills.Excellent business acumen and ability to translate analytics into actionable insights.Effective communicator with storytelling and presentation skills.Detail-oriented, innovative, and curious.Self-motivated, able to handle multiple projects, and work across cultures.J-18808-Ljbffr