Data Analyst - Fraud
Data Analyst - Fraud
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Job Description
This position will support the Anomaly Detection Platforms (ADP) team and help drive several of Visas 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 Directs 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:
3 years of work experience (preferably in payments industry) with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA or PhD)
Bachelors or Masters in Computer Science Operations Research Statistics or highly quantitative field (or equivalent experience) with strength in Data Mining Statistical analysis and advanced data science
Moderate understanding of networks risk management network security digital forensics and security operations
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
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
