Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Team Summary
Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's 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
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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
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. 
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Technical:
Candidate with 8+ 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, Economics, or equivalent experience preferred
Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/SQL/Python
Proficiency in some of the following statistical techniques: Linear and Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis etc.
Experience in fraud risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation and automation etc.)
Experience in banking / consumer lending industry preferred
Domain expertise in Fraud Risk Management (prevention, detection, response) preferred
Understanding of the consumer Fraud risk landscape in AP preferred
Business:
Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
Fair business acumen with strong ability to solve business problems through data driven quantitative methodologies
Team player, collaborative, diplomatic, and flexible style. Complete team player, able to work across cultures, upholds and promotes highest ethical standards and mutual respect in the workplace
Proven skills in translating analytics output to actionable recommendations. Experience in presenting ideas and analysis to stakeholders with the ability to tailor data driven results to various audience levels
Detailed oriented, the candidate is expected to ensure highest level of quality/rigor in deliverables, reports & data analysis
Demonstrated ability to innovate solutions to solve business problems
Exhibit intellectual curiosity and strive to continually learn
Good problem-solving skills, with demonstrated ability to think creatively and strategically
Self-motivated, results oriented individual with the ability to handle numerous projects concurrently
Good communication, story-telling and presentation skills
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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