Senior Analyst, Model Validation

  • 900 Metro Center Blvd., Foster City, CA
  • Employees can work remotely
  • Full-time

Company Description

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.

Job Description

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 Senior Analyst, Model Validation will be responsible for model validations of complex models to strengthen model risk management capabilities at Visa.

Candidate will be responsible for:

•       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.

•       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.

Qualifications

Basic:

  • 4 years of work experience with a Bachelor’s 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 degree

Preferred:

•       A minimum of 5 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

•       Applied experience with machine learning on large datasets

•       Familiarity with model risk management and applicable regulatory guidance

•       Good writing and verbal communication skills

•       Statistical skills and experience with statistical software (e.g., R, Python, pandas, SAS) and database languages (e.g., SQL)

•       PySpark, Hadoop/Hive, Unix based systems experience a plus

• 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, SAS experience desirable.

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

•      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, SAS experience desirable.

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

Additional Information

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.

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.

Work Authorization: Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. No relocation will be provided.

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