Job Description

Company DescriptionVisa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.Team SummaryVisa 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 PacificCollaborating with the client's team (both internal and external) to understand the business problem and desired business outcomeEnd-to-end delivery of multiple projects within timelines, scope and budget requirementsEnsuring all project documentation is up to date and maintain the highest levels of quality in deliverablesDevelop 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 scaleParticipate to the expansion of Fraud Risk Managed ServiceWhy this is important to VisaWith 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 remitProjects 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 measuresSTIP Optimization - Define optimal STIP strategy with balanced risk control measuresFraud Strategy & Process Optimization - Enhance fraud risk management strategy with optimal detection performanceFraud Risk Prediction/Scoring - Development of statistical models based on client data to predict the likelihood of fraud occurrenceFraud Rule Optimization - On-behalf execution of fraud risk management for clients to optimize performance & enhance detectionsThis 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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.QualificationsTechnical:

• 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, 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

Additional InformationVisa 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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