Job Description

Company Description
Visa 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.

This position will support the Anomaly Detection Platforms (ADP) team and help drive several of Visa's most important and high-visibility fraud deterrence and compliance enablement projects within Global Risk team at Visa. This fast-paced team of technology experts identifies, investigates, disrupts and prevents compliance breaches and fraud attacks targeting the global payment ecosystem. This data and analytics team is working closely with the Visa Direct team to identify non-compliance across money-movement merchants and their acquiring banks leveraging advanced analytics and data science techniques. Key measures of success for this position include the ability to develop and automate key data intelligence capabilities that optimize detection of Visa Direct acquirer & merchant non-compliance activities, the development of advanced metrics that evaluate the non-compliance risk of key clients, and automated reporting at scale for business enforcement. The solutions developed under this role will lead to measurable improvement in Visa Direct's transactional data integrity and streamlined operations of Visa Direct business.
The Primary responsibilities for this role will include:

• Lead the design and production deployment of new and advanced techniques to recognize non-compliance in Visa Direct AFT and OCT transactions - including peer-to-peer transfers, wallet loads, account funding, money transfers, etc.
• Manage non-compliance detection taxonomies and thresholds that optimize true positive detections.
• Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and non-compliance identification.
• Collaborate closely with issuing and acquiring clients to understand their specific risk and fraud challenges, providing expert guidance and tailoring solutions to their needs.
• Provide data analysis to provide evidence against non-compliance in merchant registration and operations.
• Continuously question and consider new techniques to stay ahead of key money movement trends.
• Assist in the coordinated compilation and delivery of reporting, briefings, and other related communication products to Visa management.
• Collaborate with Technology partners to enhance detection capabilities for improved insights and pattern detection.

SECONDARY RESPONSIBILITIES:

• Develop customized monitoring solutions to enable clients to take proactive action during merchant registration to avoid non-compliance at source.
• Support the development of data-led cybercrime and fraud prevention initiatives - including point-of-sale (card present/card not present) terminal fraud, anomalous cross-border volumes, Purchase Return Authorization fraud, data manipulation attacks, and ATM Cashouts.
• Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem.
• Create detailed documentation for all the Visa Direct analytics solutions.
• Communicate openly with the Visa Direct team and act as an SME and point of escalation.
• Develop a plan to partner and gather intelligence details from acquirers for all source analysis.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications
REQUIRED EXPERIENCE:

• 2 to 3 years of work experience (preferably in payments industry) with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, or PhD
• Ability to conduct complex analytical functions on transactional data to uncover key patterns and recurring trends across money-movement merchants
• Basic knowledge of transactions, systems processing transactions and overall transaction lifecycle
• Proficiency in Python, SQL and Tableau for data manipulation, analysis, and visualization
• Extensive experience with data preprocessing, feature engineering, and model optimization for risk, compliance and fraud detection
• Adaptable and able to work well in a fast-paced, team-oriented environment.
• Proficiency with drafting detailed technical reports
• Passion for payments analytics, fraud schemes and cybercrime investigations
• Good interpersonal, facilitation, and emerging leadership skills
• Able to operate at an advanced level of written and spoken communication, write and speak effectively with impact
• Capable of delivering presentations and comfortably interacting with all levels of Visa and client management
• Previous experience in developing and producing reports to executive management
• High level of self-motivation and initiative

PREFERRED EXPERIENCE:

• Direct experience with VisaNet, ISO 8583, transaction routing, VCMS, Base I and Base II platforms
• Concepts, terms, processes, policy, and implementation of information security
• Proficiency in advanced data science & ML techniques, and their implementation in Python
• Proficiency in PySpark programming for building enterprise data solutions
• Intelligence databases and analytical tools or similar intelligence reporting systems
• Analysis of cyber threat intelligence and fraud intelligence
• Moderate understanding of networks, risk management, network security, digital forensics, and security operations

Additional Information
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.