Data & Insights Analyst (Hadoop + SQL + Fraud/Risk Analytics + Stakeholder management )

Team Summary:

The Asia Pacific Analytics Team within Client Services has a simple mission: we turn massive amounts of data into actionable insights that ensure seamless, secure commerce experiences across Visa’s physical and digital eco-system. Our analytic and data professionals deliver on this mission by implementing data-based solutions, analysis, and insights targeted at maintaining security, reducing fraud rates, and preserving the integrity of the largest payment processing network in the world. 

Data analytics is a crucial pillar at Visa and, as such, this position is an essential component of delivering against the promise and security of the Visa brand.  To be successful, you will use strong analytical and leadership skills, contextual business sense and a creative flair to solve real world challenges for Visa and our clients.  Your expertise and insights will serve as a beacon to guide business decisions based on data. This role will focus on risk analytics for the Asia Pacific region.  You will have regular exposure to the Risk leadership team, and your actionable data insights will be the change agent, aimed at maintaining security, reducing fraud rates and preserving the integrity of the largest payment processing network in the world. 

Responsibilities:

As a Data and Insights Analyst, you will be responsible for executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including Visa executives, issuing banks, acquirers, processors, merchants and regulators. Success in this role requires strong analytical and data story skills for both executive and regional delivery. By collaborating with client-facing teams and functional leaders, you will provide data and insights that deliver mutual, tangible value to Visa and its clients through improved payment security. You will work on the innermost of Visa’s core data and system and contribute to the development of industry-leading capabilities to protect Visa and our clients from emerging payment threats. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. 

Specific activities may include:

• Regulatory Reporting: Conduct detailed analysis on payments, fraud, and disputes to provide reporting and insights to local regulators 
• Risk KPIs: Build and monitor Risk KPIs to assess fraud performance (payment volume, fraud trends, dispute trends), identify new fraud trends, and find mitigation opportunities 
• Emerging Payment Threats: Understand and identify emerging payment threats (e.g., enumeration, crypto payment fraud) that impact Visa’s global payment ecosystem. Develop business logic to capture these threats and quantify their impacts on Visa and its clients (issuing banks, acquirers, processors, and merchants) 
• Client Engagement: Provide data and insights for quarterly risk client meetings and forums (security summit, Risk Executive Councils, working groups, etc.). Engage with Visa’s top clients (issuers, acquirers, merchants) to improve their overall payment success holistically (including approval, fraud, dispute, etc.) with actionable recommendations through the development of innovative tools
• Ad Hoc Data Analysis: Support Visa’s business in Risk solutions with ad hoc data analysis, including breakdowns by jurisdiction, payment type, payment channel, payment workflow, and payment and fraud metrics 
• Data-Driven Decision Making: Ensure data-driven decision making is a priority for clients, colleagues, and other internal and external stakeholders. Craft meaningful presentations and insights from complex data, clearly presenting opportunities in an accurate, understandable, and engaging manner to executives.  Serve as a strategic advisor to organizational leadership and peers – inclusive of Risk MIS team, Regional Risk Officers, Functional/Global leaders and the Regional President
• Analytical Tools: Develop both retrospective and predictive analytical tools (executive dashboards, client-facing dashboards, real-time alerts, models, etc.) to combat major payment threats for Visa and its clients 
• Be an expert at getting to the root of a problem, defining business objectives and formalizing data requirements – especially in a fast paced, fluid environment 

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications:
3 years of work experience with a bachelor’s degree
2 years of work experience with an advanced degree (Masters/MBA/JD/MD)
1 year of work experience with a PhD.

Preferred Qualifications:
5 years of experience with a bachelor’s degree (quantitative field preferred) or 8 years of experience with an Advanced Degree (quantitative or business degree highly desirable)
5+ years of progressive success in roles of increasing responsibility
3+ years working in analytics, risk, management consulting, strategic operations or insight delivery
Proven experience in risk analytics, strategic advisory roles, and AI integration
Excellent presentation and communication abilities
Ability to identify and leverage market trends for strategic advantage
Knowledge of Visa’s products, services, and client engagement strategies
Proficiency in data analysis, and utilisation of various data environments and tools
High-level understanding of manipulating data from a variety of sources
Big data experience (Hadoop, Hive, Spark), data visualization experience (Tableau, Power BI) and/or SQL experience are critical skills – this role is about both doing and delivering.
Strong verbal, written, motivational and interpersonal skills are required

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.