Manager, Model Risk

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Synchrony

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

Synchrony is a financial services company that provides a variety of financing solutions for everyday purchases. They offer specialized healthcare financing through their CareCredit product, along with online savings and business financing options. Synchrony Bank serves as their banking division, enabling customers to manage their retail and healthcare financing needs efficiently.

📋 Description

• 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. • Write detailed validation documents/reports for management. • Support in additional book of work or special projects as in when required.

🎯 Requirements

• 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 • 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. • Knowledge and experience of credit loss models such as Loss forecasting (PD/LGD/EAD. CECL, Roll rate, etc), Stress testing, Allowance. • Ability to apply analytical skills to solve problems creatively. • Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise. • Excellent written and oral communication and presentation skills.

🏖️ Benefits

• best-in-class employee benefits and programs that cater to work-life integration and overall well-being • career advancement and upskilling opportunities