Sr. Cybersecurity Analyst - Anomaly Detection Platforms

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.

Job Description

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:

• Lead the design and production deployment of new and advanced techniques to recognize and prevent cybercrime – to include point-of-sale (card present/card not present) terminal fraud, anomalous cross-border volumes, Purchase Return Authorization fraud, data manipulation attacks, and ATM Cashouts.
• Manage fraud alerting taxonomies and thresholds that optimize true positive detections and fraud scheme coverage.
• Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and fraud 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 and response to alerts relative to significant fraud events.
• Continuously question and consider new techniques to stay ahead of organized cyber criminals and fraudsters. 
• Assist in the coordinated compilation and delivery of fraud reporting, briefings, and other related communication products to Visa management.
• Collaborate with Technology partners to enhance fraud detection capabilities for improved insights and pattern detection.
• Create new processes related to real time alerting to help protect the payment ecosystem.

SECONDARY RESPONSIBILITIES:

• Develop customized monitoring solutions to enable clients take proactive action to fraud threats.
• Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem.
• Assist the Sr. Director of the Risk Operations Center (ROC) in establishing the roles of the analyst and what they should and should not be assisting with.
• Create training documentation for the Risk Operations Center.
• Communicate openly with the ROC 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. 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.

Qualifications

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.

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.