Visa USA is a Visa company. Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

The Model Risk Management (MRM) team at Visa has a mandate to validate business-impactful models firm-wide and more generally to identify, measure, and handle model risk across Visa. The Director, Model Validation, Model Risk Management will be responsible for model validations of complex models to strengthen model risk management capabilities at Visa.

Essential Functions:

•       Identify sources of risk in models. Conduct validations for quantitative and complex financial models. Thoroughly and comprehensively review all model components and developmental evidences. Responsible for providing effective challenges to conceptual soundness of models and conducting quantitative analytics.

•       Assist in validating highly complex models that use state of the art AI/ML techniques

•       Present validation work through formal validation reports, as well as thorough presentations to model owners and senior management. Clearly and concisely document and communicate validation findings.

•       Present and effectively support findings to model developers, users and senior management. Develop and prioritize constructive recommendations for model changes or enhancements.

•       Maintain detailed and comprehensive records of validation projects through work papers and other acceptable project artifacts.

•       Maintain accurate data in the firm’s model inventory. Track and review model performance monitoring results. Review evidences for closure of model validation findings.

•       Build strong working relationships with key model stakeholders, in particular, model developers and users. Facilitate communication between model validation teams and other stakeholders, including model owners

Basic:

• 10 years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred:

•       Master's Degree Quantitative field or MBA with quantitative focus, Ph.D. preferred

•       Experience with fraud, credit score cards

•       Strong quantitative skills in such areas as econometrics, statistics, hazard modeling, and time series analysis.

•       Experience working with large data sets.

•       AI/ML, Python, R experience desirable.

•       Familiarity with leading model risk management practices and applicable regulatory guidance.

•       A minimum of 10 years prior relevant work experience.

•       Advanced knowledge of quantitative models obtained through advanced degree (PhD, MS, or MFE) and/or prior work experience

•       Strong quantitative skills and practical experiences in areas such as financial theories, econometrics, statistics, hazard modeling and time series analysis

•       Familiarity with model risk management and applicable regulatory guidance

•       Good writing and verbal communication skills

•       Statistical skills and R, Python experience a plus

All your information will be kept confidential according to EEO guidelines.

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, and reach with hands and arms.

This position requires the incumbent to be available during core business hours

This position requires the incumbent to travel for work 0%  of the time.