Visa is looking to enhance its fraud detection and prevention capabilities within the payments industry by leveraging advanced machine learning techniques, including generative AI, to safeguard its payment systems and provide clients with innovative solutions.
Requirements
- Experience leading development, delivery and deployment of ML / DL models, feature engineering, model refresh, and experimentation.
- Experience leading product development & delivery of AI/ML solutions, applied to real-world problems
- Experience leading design and development of mission-critical, secure, reliable systems
- Excellent understanding of algorithms and data structures
- Excellent problem solving and analytics skills. Capable of forming and advocating an independent viewpoint
- Strong experience with agile methodologies
- Must demonstrate longer-term strategic thinking and staying abreast with latest technologies to assess what’s possible technically
Responsibilities
- Leverage generative AI techniques to enhance fraud detection models, creating synthetic data for robust testing and model training.
- Incorporate generative AI into the machine learning strategy to introduce novel fraud detection methods and improve predictive accuracy.
- Utilize generative AI to simulate potential fraud scenarios, aiding in the development and refinement of fraud prevention solutions.
- Implement generative AI tools to facilitate communication and alignment between technical teams and business stakeholders, ensuring a shared understanding of goals.
- Define and drive the machine learning strategy for fraud prevention solutions.
- Align ML initiatives with Visa’s broader business and technology objectives in the payments risk space.
- Lead the design, development, testing, and deployment of ML/DL models to detect and prevent payment fraud.
Other
- This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
- Visa is not offering relocation assistance for this role
- Excel in partnering with Product leaders and technical product managers on requirements workshops, helping define joint product/technology roadmaps & driving prioritization
- Demonstrated success in leading high performing, multi-disciplinary and geographically distributed engineering teams. Demonstrated ability to hire, develop and retain high-caliber talent
- Strong collaboration and effective communication, with focus on win-win outcomes
