Data Scientist, Anomaly Detections Platforms (ADP)

Visa-posted 2 days ago
Full-time • Mid Level
Hybrid • Foster City, CA
5,001-10,000 employees
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The Anomaly Detections Platforms (ADP) is a global team tasked with the role of developing data driven fraud detection solutions to identify abnormal transaction trends and work closely with Risk Operations Center (ROC) to support in fraud mitigation. This position will support the Anomaly Detection Platforms team drive several of Visa’s most important and high-visibility fraud deterrence projects within Global Risk’s Payment Fraud Disruption (PFD) team. 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. You will be a key driver in the effort to define the shared strategic vision for the Risk team and defining tools and services that safeguard Visa’s payment systems. The right candidate will possess strong ML and Data Science background, with demonstrated experience in building, training, implementing and optimized advanced AI models for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building AI/ML solutions for similar industries. 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 help deliver innovative insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to strategic offering for Visa. This candidate needs to have strong academic track record and be able to demonstrate excellent software engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

  • 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.
  • Engage with VCA to understand client specific risk and fraud challenges, providing expert guidance and tailoring solutions to their needs.
  • Continuously question and consider new techniques to stay ahead of organized cyber criminals and fraudsters.
  • Collaborate with Payment Systems Intelligence and Risk Operations Center (ROC) teams to recognize and implement measures to identify and disrupt new fraud and cybercrime threats to the clients enrolled in the Fraud Services program.
  • Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem.
  • 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
  • Bachelor’s degree in relevant subject area required.
  • Ability to conduct complex analytical functions by performing fraud assessments and analyzing criminal methods.
  • Knowledge of transactions, systems processing transactions and overall transaction process.
  • 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.
  • Adaptable and able to work well in a fast paced, team-oriented environment.
  • Proficiency with drafting detailed, technical reports
  • 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
  • Moderate understanding of networks, risk management, network security, digital forensics, and security operations
  • High level of self-motivation and initiative
  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • 5 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)
  • 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.
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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