Job Description:
Role Summary/Purpose:
Support model validation initiatives related to quantitative analytic modeling with the Synchrony Model Risk Validation team.
Essential Responsibilities:

  • Validate the accuracy and performance of statistical models and identify issues requiring further investigation, including those developed using machine learning techniques.
  • Perform in-depth analysis or large data sets and assist in the review and maintenance of relevant model and model validation documentation.
  • Liaise with the retail finance business teams to uncover and highlight risk associated with models.
  • Prepare reports for senior management and retail finance business teams and facilitate discussions on key analytics.
  • Perform other duties and/or special projects as assigned
  • Explore new emerging analytical tools and technologies and train the team members in the same.

Qualifications/Requirements:

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Economics or related quantitative field is required
  • Minimum 2+ years of experience in statistical modeling preferably in risk analytics model validations position
  • 2+ years of experience in statistical tools like SAS, Python, R, Advanced Excel Macros.
  • Strong experience in exploring new emerging tools and technologies for the benefit of business.
  • 1+ years of experience in risk analytics in model validations is preferred.
  • For Internal Applicants: Understand the criteria or mandatory skills required for the role, before applying.
  • Inform your Manager or HRM before applying for any role on Workday.
  • Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format)
  • Must not be any corrective action plan (First Formal/Final Formal, PIP)
  • Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
  • Last annual performance rating should at least be Strong Contributor/Critical Talent
  • 6+ Level employees can apply

Desired Characteristics:

  • 2+ years of experience with statistical tools like SAS, Python, R, Advanced Excel Macros.
  • 1+ years of experience in handling large data sets for statistical analysis / modeling and handling large amounts of data and analyzing for trends.
  • Knowledge on the application of regulatory requirements for Model Risk (e.g. SR 11-7/OCC 2011-12) is preferred.
  • 1 year of experience in development or testing in Pig, Spark, Python, or similar applications is preferred.
  • In-depth theoretical understanding and utilizing modeling techniques supporting one (or more) of the following: Big Data Analytics, Machine Learning, and / or Decision Models (Behavior, Credit, Fraud, etc.)

Risk Management


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