Product Analyst - AI Governance and Product Operations

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Product Analyst is part of the AI Governance and Product Operations team and will be responsible for supporting model risk governance and client success efforts for a high-impact, fast-growing portfolio of payment fraud risk model products. The person selected for this role will be responsible for identifying, as well as shaping and executing strategies against the biggest model risk governance and client success challenges, we face today.

The person selected for the role will sit within the product team, while partnering with product managers, data science, and frontline partners to streamline our model risk governance and client success processes, fine-tune internal workflows for client services, including transforming and coordinating model governance activities between Visa and the clients who use the products powered by Visa models. In addition, this person will support the coordination of activities with the Regional Client Servicing teams, Department-level 1st Line Risk Management function, and Enterprise-level 2nd Line Risk Management functions. The person will also represent Data Products and Solutions in client meetings involving client servicing and model governance topics.

Essential Functions

• Create and maintain internal and external model risk governance communications including, model implementation support and model release schedules.

• Ensure appropriate internal control, review, maintenance, and handling of model governance documentation. This includes supporting the continuous process improvement of standard practices, templates, and training for model risk governance.

• Serve as a contact in client-facing and internal meetings regarding model governance and client success topics for the Data Products and Solutions team.

• Capture business requirements from clients for custom data or report requests and provide regular updates to clients on progress/delivery.

• Research and respond to client model risk governance questions or documentation requests.

• Maintain internal and external frequently asked questions (FAQs) repositories for model risk governance questions.

• Streamline the delivery of model documentation and performance for Visa clients.

• Liaise with other business units, product leaders, engineering, and other applicable groups to provide best in class service to clients.

• Provide project status, action plans, and recommendations to senior leadership on an ongoing basis.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications
-5 or more years of relevant work experience with a Bachelors Degree or at least
2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD,
MD) or 0 years of work experience with a PhD

Preferred Qualifications
-6 or more years of work experience with a Bachelors Degree or 4 or more years
of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
or up to 3 years of relevant experience with a PhD
-Strong risk management skills with a sound understanding of payment
technology, risk and fraud management, other ecosystem requirements
-3 years of experience in the payments industry (e.g., payment processing,
acquiring, payment technology provider, payment brand, etc.)
-3 years' experience in model risk management or other similar risk discipline
within the financial services industry
-Excellent communication skills and presence
-Aptitude to collaborate with data science teams to support model risk
governance and client success initiatives
-Ability to think creatively to solve problems
-Organizational and leadership abilities to influence, negotiate, and drive results
-Experience working with external partners
-Experience and knowledge of Agile (Scrum) project methodology and practices
-Advanced degree desirable

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 124,700.00 to 180,650.00 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.