Company Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

　　When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

　　Join Visa: A Network Working for Everyone.

　　Job Description Payments is an exciting and rapidly evolving space. With strong demand for new solutions, it promises to be an exciting area of innovation. If you want to be a part of this exciting space, learn fast and make a big impact, Risk, Authentication & Identity product development organization is the ideal place for you! Risk Solutions (RAIS) organization is responsible for building critical risk and fraud detection and prevention applications/products for Visa and it’s clients.

　　Generative AI and cloud technologies are two of the most exciting and rapidly evolving domains in the software industry. They offer immense possibilities for creating innovative and impactful solutions that can transform various sectors and domains. However, they also pose significant challenges and require a high level of expertise and experience to master.

　　Reporting to the head of Risk Solutions PD, you will play a critical role in the acceleration of our AI journey and setup the cloud stratgey. You will be responsible for setting the AI/ML roadmap for the organization (in conjunction with business), assessing AI/ML and Gen AI initiatives & executing on these initiatives across the entire EOR organization. This includes supporting all the product development lanes in RAIS, for their AI/ML initiatives. You will be a key driver in the effort to define the strategic vision for the Risk & Decisioning platform, in conjunction with our business partners.  Additionally, you will evangelize Gen AI driven internal productivity tools to accelerate adoption in our engineering teams. You will also coach and mentor our engineering talent, to help scale the AI/ML efforts. Also, help the RAIS organization setup its cloud strategy and work with the various engineering teams in the execution of the strategy.

　　The candidate for this role needs to have strong AI/ML and Data Science background, with demonstrated experience in building, training, implementing, and optimizing 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. 

　　To be successful in this role, the candidate needs to be a technical leader with the ability to engage with business and technology partners, 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 ideal candidate will bring the excitement and passion to leverage Generative AI to advance existing fraud detection mechanisms and to innovate and solve new fraud use cases. The candidate will help deliver innovative insights to Visa's strategic products and business. 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.

　　Essential Functions

　　Architect, design, enhance, and build next generation fraud detection solutions. You will support all the product engineering lanes of EOR, with their AI/ML initiatives.Drive the architecture for key cross team / cross product AI/ML projects (via architecture/design documents and developing code key modules).Collaborate with product stakeholders to formulate business problems as technical data-centric problems.Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code as needed.Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.Build needed data transformations on structured and un-structured data.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.Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models.Devise and implement methods for efficiently monitoring model effectiveness and performance in production.Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.Contribute to development and adoption of shared predictive analytics infrastructure. Establish software development patterns and best practices via examples and shipping code.Ensures that relevant project teams follow a common set of principles and patterns and utilize a standard set of technology frameworks and libraries.Mentor and build a high performing  team of ML scientists across EOR.Evangelize GAI productivity tools (chatgpt, Github copilot) in EOR engineering teams and boost adoption to drive efficienciesAble to influence teams across EOR, across Value Added Services and across VisaAble to work on multiple projects and initiatives with different/competing timelines and demands.Present technical solutions, capabilities, considerations, and features in business terms. Communicate status, issues, and risks in a precise and timely mannerCollaborate across multiple engineering teams within Visa - Visa Research, AI Platform, Operations and Infrastructure (O&I), CyberSecurity, Value Added Services Product Engg . 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 three days a week, Tuesdays, Wednesdays, and Thursdays with a general guidepost of being in the office 50% of the time based on business needs.

　　Qualifications Basic Qualifications:

　　• 12+ years of relevant work experience with a Bachelor’s Degree or at least 9

　　years of work experience with an Advanced degree (e.g. Masters, MBA, JD,

　　MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work

　　experience.

　　Preferred Qualifications:

　　• 15 or more years of experience with a Bachelor’s Degree or 12 years of

　　experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with

　　9+ years of experience

　　• Masters or PhD in Computer Science, Operations Research, Statistics, or highly

　　quantitative field (or equivalent experience) with strength in Deep Learning,

　　Machine Learning, Data Mining, Statistical or other

　　mathematical analysis

　　• Deep understanding of generative AI models and algorithms, of the theory,

　　architecture, implementation, and applications of various models and

　　algorithms, as well as the ability to compare, evaluate, and optimize them for

　　different use cases and scenarios.

　　• Expert in leading-edge areas such as Machine Learning, Deep Learning,

　　Stream Computing and MLOps

　　• Ability to program in one or more scripting languages (such as Perl, Python)

　　and programming languages (such as Java, Scala)

　　• Excellent understanding of algorithms and data structures

　　• Excellent analytic and problem-solving capability combined with ambition to

　　solve real-world problems

　　• Excellent interpersonal, facilitation, and effective communication skills (both

　　written and verbal) and the ability to present complex ideas in a clear, concise

　　way

　　• Have great work ethics, and be a team player striving to bring the best results

　　as a team

　　• High level of competence in Python, Scala, and Unix/Linux scripts

　　• Extensive experience with SAS/SQL/Hive for extracting and aggregating data

　　• Experience working with large datasets using tools like Pig or Hive is a plus

　　• Experience with Big Data and analytics leveraging technologies like Hadoop,

　　Spark, Scala, and MapReduce

　　• Deep learning experience working with TensorFlow is necessary

　　• Experience with Natural Language Processing is necessary

　　• Proficiency in cloud computing and cloud-native technologies: Cloud

　　computing and cloud-native technologies are the backbone of generative AI

　　and cloud technologies, as they provide the infrastructure, platform, and

　　services to run, scale, and manage generative AI applications in a distributed

　　and efficient manner. A senior developer in this space should be proficient in

　　using various cloud computing and cloud-native technologies, such as AWS,

　　Azure, Google Cloud, Kubernetes, Docker, Serverless, and Microservices, and

　　• Masters or PhD degree in Computer Science or related field and 10+ years of

　　Machine Learning System Development Experience after PhD

　　• Real world experience using Hadoop and the related query engines (Hive /

　　Impala)

　　• Experience with one or more common statistical tools such SAS, R, KNIME,

　　Matlab is a plus

　　• Publications or presentation in recognized Machine Learning and Data Mining

　　journals/conferences is a plus

　　• Experience with data visualization and business intelligence tools like Tableau

　　• Modeling experience in card industry or financial service company using for

　　fraud, credit risk, payments is plus

　　• Proficiency in designing & solving classification/prediction problems using

　　open-source libraries such as Scikit learn

　　• Experience in developing large scale, enterprise class distributed systems of

　　high availability, low latency, & strong data consistency

　　• Experience developing instrumentation for software components, to help

　　facilitate real-time and remote troubleshooting/performance monitoring

　　• Experience in architecting solutions with Continuous Integration and

　　Continuous Delivery in mind

　　• Familiarity with in distributed in-memory computing technologies

　　Additional Information Work Hours: Varies upon the needs of the department.

　　Travel Requirements: This position requires travel 5-10% of the time.

　　Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

　　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.

　　Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

　　U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 183,400.00 to 238,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.