Manager, Model Risk Management (L09)

Synchrony; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Synchrony is seeking a Manager, Model Validation to validate loss, reserve, recovery, and forecast models for customer facing credit risk and fraud. The role emphasizes adherence to Model Risk Management policies and regulatory standards.

You will conduct model reviews, evaluate data quality, document findings, and communicate results to stakeholders. This is an individual contributor position with potential for cross-functional collaboration.

Qualifications

• Bachelor's degree or 4+ years of relevant experience.
• 2+ years of hands-on modeling experience in customer facing models.
• 2+ years of experience in developing/validating credit models with SAS, Python, SQL.
• 2+ years of experience handling large data sets for statistical/ML modeling.

Responsibilities

• Conduct full scope model review, annual review, and ongoing monitoring for credit/fraud models.
• Evaluate data quality, methodology soundness, and back-testing results.
• Document validation findings and facilitate discussions with stakeholders.
• Analyze large data sets and maintain validation documentation.
• Communicate technical results clearly to technical and business teams.

Skills

Credit risk modeling

Python

SQL

SAS

ML concepts

Data analysis

Education

Bachelor's degree

Tools

SAS

Python

SQL

AWS

Spark

Data Lake

Job description

Job Description: Role Title: Manager, Model Risk Management (L09)

Company Overview: Synchrony (NYSE: SYF) is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century. Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most. Leveraging innovative solutions that are shaping the future of retail commerce, Synchrony supports the growth and success of some of the nation's most respected brands, alongside hundreds of thousands of small and midsize businesses, including health and wellness providers. Committed to excellence in service and culture, Synchrony is proud to be named as #3 as a Great Place to Work® in India and is honored to be ranked the #1 Best Company to Work For® in the U.S. by Fortune magazine and Great Place to Work®. For more information, visit www.synchrony.com.

Organizational Overview: Synchrony's Risk Team provides independent oversight of Synchrony's risk-taking activities to ensure safety and soundness, meet regulatory and legal requirements, and manage risks to the risk-appetite of the Board. Risk is responsible for independently assessing, quantifying, and overseeing risks & providing effective challenge. Risk serves as Synchrony's Second Line of Defense. Overall, Risk Team oversees and manages the Risk Program to support the business in anticipating and addressing risks, issues and challenges. Results are consistent with the respective strategic uses and complying with related overall risk, risk testing policies, standards, procedures as well as regulations. Our Risk organization consists of 4 pillars: Compliance, Credit & Financial Risk, Enterprise Risk and Operational Risk. Each of the pillars play a vital role in managing Risk and supports the business in anticipating and addressing risks, issues, and challenges. Enterprise Risk provides oversight on Synchrony-wide initiatives and projects and manages issues, risk assessment & reporting, risk monitoring activities, policy standards and procedure framework for governance documents.

Role Summary/Purpose

The Manager, Model Validation is responsible for model validation focusing on Loss/reserve/recovery/ forecast to Customer facing credit risk/Fraud risk models (Account acquisition and Account management) , and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 26-02). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role.

Key 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.

Required Skills/Knowledge

• 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

Desired Characteristics

• Knowledge of Credit Card/Consumer Finance products and business model.
• Strong knowledge of Regulatory requirements for MRM (SR 26-2 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/quantitativ