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.
• Assisting and mentoring model validation team members to achieve stake holder’s requirements
• 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.

• Having 4+ years of experience in statistical modeling preferably in risk analytics model validations position
• Bachelor’s or Master’s degree preferably in Statistics, Mathematics, Economics, Engineering or related quantitative field is required or
• 4+ years of experience in statistical tools like SAS, Python, R, Advanced Excel Macros.
• Strong experience in mentoring and training team members.
• 1+ years of experience in handling analytical team preferably in risk analytics in model validations.
• 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)
• Those who are on Formal/Final Formal Corrective or PIP are not eligible to apply
• Employees who have completed 18 months in SYF and 12 months in current role are only eligible
• Last performance rating should be at least Strong Contributor/Critical Talent

• 4+ years of experience with statistical tools like SAS, Python, R, Advanced Excel Macros.
• 3+ years of experience in handling large data sets for statistical analysis / modeling and handling large amounts of data and analyzing for trends.
• Sound knowledge on the application of regulatory requirements for Model Risk (e.g. SR 11-7/OCC 2011-12)
• 2 years of experience in development or testing in Pig, Spark, Python, or similar applications.
• 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.)