As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
You're an Individual. We're the team for you. Together, let's transform the way the world pays.
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 Analyst 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 Analyst Fraud Risk will report to the Senior Manager 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 Analyst Fraud Risk:
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, this would include helping issuers and acquirers solve their most strategic business problems:
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 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.
Technical:
• Candidate with 5+ 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 banking / consumer lending industry preferred
• Fair level of domain expertise in Fraud Risk preferred
• Hands on experience in fraud risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation and automation etc.)
• Demonstrated ability to innovate solutions to solve business problems
Business:
• Self-motivated, results oriented individual with the ability to handle numerous projects concurrently
• Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
• 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
• Exhibit intellectual curiosity and strive to continually learn
• 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.