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Project Analyst, Data Science 229 views

Essential Functions:

Globally

  • Manage the Visa’s Consulting & Analytics’ (VCA) Model Risk Management documentation compliance process and the model catalog
    • Ensure new models created by VCA and its third-party vendors are identified and accurately classified in accordance with Visa’s Model Risk Management program
    • Ensure that appropriate model documentation is provided to comply with Visa policy
    • Review technical model documentation for completeness and accuracy
    • Coordinate peer reviews of documentation when necessary
    • Educate VCA on policy and process, work with Global Risk to handle exceptions
  • Manage the ongoing model monitoring process
    • Coordinate ongoing model evaluations based on Risk requirements
    • Collect model performance metrics and communicate to Risk

Asia-Pacific And Latin America

  • Oversee the resource planning of data scientists in these regions
  • Coordinate and roll out global training initiatives
  • Assist in project management/project tracking and coordinate All Hands meetings
  • Track status of headcount

Qualifications

Basic Qualifications:

  • 2 years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or Ph.D.).

Preferred Qualifications

  • Degree in Computer Science, Business Analytics, Biotstats, Business Administration, Statistics, Operations Research, Economics, or another quantitative field.
  • 5 years of project management or technical documentation experience in the technology field (or 2 years with an advanced degree)
  • Experience working across multiple stakeholders while managing various projects simultaneously
  • Experience working on global teams
  • Excellent oral/written communication, interpersonal and influencing skills with a proactive mindset
  • Strong customer service focus, with the ability to communicate with technical teams
  • Familiarity with SQL, Python, R, statistical modeling, machine learning – regression, classification, decision trees, xgboost, random forest, gradient boosting, ensemble learning
  • Very strong organizational skills with attention to detail
  • Ability to work well with metrics, numbers, and trends and draw insights from data
  • Flexibility in work hours to accommodate global nature of the role
  • Familiarity with CCAR or model audit
  • Experience with the regulatory policy in a technical capacity

Additional Information

Work Hours

  • Given the global functionality of this role, the incumbent will be regularly expected to work outside of normal business hours.

Travel Requirements

  • This position requires the incumbent to travel for work 10% of the time.

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, and reach with hands and arms.

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