Visa's Anomaly Detection Platforms (ADP) team needs to develop data-driven fraud detection solutions to identify abnormal transaction trends and support fraud mitigation efforts within Global Risk's Payment Fraud Disruption (PFD) team. This role will help define strategic visions and develop tools/services to safeguard Visa's payment systems against cybercrime and fraud.
Requirements
- Proficiency in Python, SQL and Shell for data manipulation, ML/AI model development, analysis, and visualization.
- Proficiency and experience with building end-to-end supervised and unsupervised model pipelines.
- Extensive experience with data preprocessing, feature engineering, model development and optimization for risk and fraud detection.
- 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.
Responsibilities
- Lead the design and production deployment of new and advanced ML techniques to detect 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.
- Collaborate with Technology partners to enhance fraud detection capabilities for improved insights and pattern detection.
- Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
- Be an expert at getting to the root of a problem, defining business objectives and formalizing data requirements – especially in a fast paced, fluid environment.
- Develop real-time and batch processed customized monitoring solutions to enable clients take proactive action to fraud threats.
- Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and fraud identification.
Other
- This position is ideal for an experienced data scientist who is passionate about collaborating with business and technology partners in solving challenging fraud prevention problems.
- A successful candidate is a technical leader with the ability to engage in high bandwidth conversations with business and technology partners and be able to think broadly about Visa’s business and drive solutions that will enhance the safety and integrity of Visa’s payment ecosystem.
- The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.
- This role represents an exciting opportunity to make key contributions to strategic offering for Visa.
- This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
