Synchrony - Manager - Model Risk

Title: Manager, Model Risk

Role Summary/Purpose:

- Support model validation initiatives related to quantitative analytic modeling with the Synchrony

Model Risk Management team.

- A critical new role Manager, Risk Model Validation, will be responsible in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team.

Essential Functions / Responsibilities:

- Validate the accuracy and performance of statistical and other types of models to identify issues requiring further investigation, including those developed using machine learning techniques.

- Perform in-depth analysis on 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 holders 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.

Qualifications / Requirements:

- Bachelors or Masters degree in Statistics, Mathematics, Economics or related quantitative field is required

- Having 4+ years of experience in statistical modeling preferably in risk analytics model validations position

- 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.

Desired Qualifications:

- 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.

- 2+ Years of strong experience in model validations.

- 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.)