Manager - Model Validation

Role Summary/Purpose:

The Manager, Model Validation is responsible for model validation focusing on Loss/reserve /recovery forecast, and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7).

This role requires expertise in supporting model validation initiatives related to quantitative analytics modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role.

Essential Responsibilities:

- Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, particularly in the areas of loss forecast, with effective challenges to identify potentials issues

- Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues.

- Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics.

- Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation.

- Communicate technical information verbally and in writing to both technical and business team effectively. Additionally, the role requires the capability to write detailed validation documents/reports for management

- Support in additional book of work or special projects as in when required.

Required Skills/Knowledge:

- Bachelor's/master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master's degree, 4+ years' experience in model development / model validation experience in the retail section of financial services or banking.

- Understanding of quantitative analysis methods or approaches in relation to credit loss models

- Strong programing skills with 2+ years' hands-on and proven experience utilizing Python, Spark, SAS, SQL, AWS, Data Lake to perform statistical analysis and manage complex or large amounts of data and 4+ years of relevant experience in lieu of a degree