Manager, Model Risk (L09)

Responsibilities

• 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:
• 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
• Desired Skills/Knowledge:
• 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.
• Be self-motivated, act promptly and effectively when assigned tasks.
• Excellent written and oral communication and presentation skills.
• Eligibility Criteria : Bachelor's/master's

Benefits

Additional Information

Job Description: Role Title : Manager, Model Risk Management (L09) Company Overview : Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry's most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India's Best Companies to Work for by Great Place to Work. We were among the Top 50 India's Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, for all to take up leadership roles. Organizational Overview: Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques, then Synchrony's Risk team is the place to be 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 analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role.

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