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