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 team and help drive several of Visa’s most important and high-visibility fraud deterrence projects within Global Risk’s Payment Fraud Disruption (PFD) team. This fast-paced team of technology experts identifies, investigates, disrupts and prevents attacks targeting the global payment ecosystem. Key measures of success for this position include the ability to develop and automate key attack intelligence capabilities that optimize detection of fraudulent anomalies, the development of advanced metrics that evaluate the fraud risk of key clients, and rapid analysis of external data compromise events that mitigate monetization. This role’s initiatives will lead to the measurable decrease of cybercrime and fraud attacks impacting Visa clients. The primary responsibilities for this role will include:
SECONDARY RESPONSIBILITIES:
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.
REQUIRED:
• Moderate understanding of networks, risk management, network security, digital forensics, and security operations
• Ability to conduct complex analytical functions by performing fraud assessments and analyzing criminal methods.
• Knowledge of transactions, systems processing transactions and overall transaction process.
• Ability to conduct complex analytical functions by performing fraud assessments and analyzing criminal methods.
• Proficiency in Python, SQL and Tableau for data manipulation, analysis, and visualization.
• Extensive experience with data preprocessing, feature engineering, and model optimization for risk and fraud detection.
• Adaptable and able to work well in a fast paced, team-oriented environment.
• 3 years’ experience in payment card or information security industry, investigating payment card, cybercrime fraud / red team testing or bachelor’s degree in strong technical area with some real-word experience (e.g., internship)
• Proficiency with drafting detailed, technical reports
• Ability to respond after-hours, weekends, and holidays to major fraud events.
• Passion for fraud schemes and cybercrime investigations
• Good interpersonal, facilitation, and demonstrated 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
• 8 + yrs experince, Bachelor’s degree in relevant subject area required.
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
• Intelligence databases and analytical tools or similar intelligence reporting systems
• Analysis of cyber threat intelligence and fraud intelligence.
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.