Hybrid Manager, Model Risk Management – L9

at Synchrony

• Job title: Manager, Model Risk Management – L9
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Python, Spark, SQL
• Location requirements: Hybrid, Hyderabad, India

About the role

• Manager, Model Risk Management focusing on model validation at Synchrony. Ensuring compliance with regulatory standards in risk management and model governance.

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, with effective challenges.
• 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.

Requirements

• Bachelor’s degree with 2+ years of hands-on modeling experience in customer facing models such as credit, fraud, marketing or loss forecasting models or lieu of a degree 4+ Years of relevant experience.
• 2+ years of experience in developing/validating credit models with statistical tools like SAS, Python, SQL, etc.
• 2+ years of experience using large data sets for statistical and ML modeling within the banking or financial industry.
• Understanding of quantitative analysis methods or approaches in relation to credit 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
• Knowledge of Credit Card/Consumer Finance products and business model.
• Strong knowledge of Regulatory requirements for MRM (SR 11-7 regulation) with proven track records of delivering Regulatory requirements.
• 2+ years in MRM in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline

Benefits

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