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Manager- Fraud Risk Consulting

4 - 8 years

15 - 19 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Team Summary

Visa Consulting & Analytics (VCA) is Visas consulting division, serving Visas clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. In Asia Pacific (AP), VCA has geographically focused teams and the hub practice teams, which provides expertise in specific industry or functional verticals (Digital, Risk, Business Solutions, Acquiring & Merchant)

What the Manager Fraud Risk, Consulting & Analytics does at Visa:

The VCA Risk Advisory Practice team is responsible for delivering Risk advisory services to Visa s clients (Issuers, Acquirers and Merchants) across Credit Risk and Fraud Risk. The Manager Fraud Risk will report to the Director Fraud Risk, India Hub within the VCA Risk Advisory Practice team and will contribute to the delivery of Fraud Risk advisory engagements. This individual will bring expertise in both the Fraud Risk functional domain and in risk analytics gained as Risk practitioner and/or a data scientist within a bank and/or a specialized consulting firm. We are looking for a motivated, analytically minded individual with a track record of using Risk expertise to unlock business value.
Key responsibilities for the Manager Fraud Risk:
  • Contribute to the delivery of Fraud Risk advisory engagements across Asia Pacific
  • Collaborating with the client s team (both internal and external) to understand the business problem and desired business outcome
  • End-to-end delivery of multiple projects within timelines, scope and budget requirements
  • Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
  • Develop Fraud Risk data driven solutions (Authorization and Fraud Optimization, Fraud Risk Prediction/Scoring).
  • Support the development and maintenance of consistency, standards and quality control of Fraud Risk consulting methodologies, ensuring world-class best practices and efficiency through economies of scale
  • Participate to the expansion of Fraud Risk Managed Service

Why this is important to Visa

With a rapid change in the payment landscape, new regulations around Open banking and Open data and the emergence of new Fintech players - the payment ecosystem is rapidly evolving, and our clients are looking to Visa as the payment experts to help them navigate through the opportunities and challenges that these changes pose. Visa with its global reach and rich transaction data set is ideally positioned to assist merchants solve their strategic business problems and drive growth.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
The candidate should be able to accommodate flexible working hours to catering to client and country time zones considering the roles Asia Pacific remit

Projects you will be a part of:

The nature of projects this role will play a key role in vary as this would include helping issuers and acquirers solve their most strategic business problems:
  • Authorization Optimization - Define optimal authorization strategy with balanced risk control measures
  • STIP Optimization - Define optimal STIP strategy with balanced risk control measures
  • Fraud Strategy & Process Optimization - Enhance fraud risk management strategy with optimal detection performance
  • Fraud Risk Prediction/Scoring - Development of statistical models based on client data to predict the likelihood of fraud occurrence
  • Fraud Rule Optimization - On-behalf execution of fraud risk management for clients to optimize performance & enhance detections

Technical:
Candidate with 10+ years of analytical experience in applying statistical solutions to business problems
Graduate / Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science,

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