Job Description:

QUALIFICATIONS/REQUIREMENTS:

• Master’s degree (or foreign equivalent) in Statistics, Mathematics, and +4 years’ experience in model development / model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 8 years’ experience in model development / model validation experience.
• Strong understanding and application of quantitative analysis methods or approaches in relation to credit loss /reserve/recovery models, CECL, etc.
• Thorough business knowledge and sharp acumen in loss forecasting with comprehensive understanding and strategic insight supporting ACL ( Allowance for Credit Losses) and financial /capital planning
• Strong programing skills with 4+ 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 4 years’ experience

ELIGIBILITY REQUIREMENTS:

• You must be 18 years or older
• You must have a high school diploma or equivalent
• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
• New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).
  Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

ROLE SUMMARY/PURPOSE:

The AVP, 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 high level of expertise with minimal technical supervision to serve as project lead as well as being accountable for validation results on a wide range of model categories.

ESSENTIAL RESPONSIBILITIES:

• Serve as a key contributor to perform full scope model review, annual review, on going monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical and Machine learning models, particularly in the area of loss forecast, with effective challenges to identify potentials issues requiring further investigation, and resolve problems
• Perform in-depth analyses on model methodologies, assumptions, and performance trends based on large datasets and identify key model risk, limitations and issues for in-house developed models as well as third-party models with proprietary nature.
• Lead and supervise the full scope end-to-end validation for both pre-implementation validation and revalidation and other reviews (annual review, limited scope review, change review, etc.), be held full accountability on the validation quality, and drive the timeline and completion of the projects with minimal guidance from the review manager/supervisors
• Provide sufficient coaching and guidance to junior team members by offering mentorship, training, and constructive performance . Facilitate continuous improvement by addressing challenges and fostering a supportive team environment.
• Keep pace with the latest model developments and validation practice in academic , regulatory environment and financial services industries to provide technical consultation and process improvement to MRM
• Provide comprehensive support during regulatory examinations and internal audits of the model validation process by preparing necessary documentation, addressing inquiries and questions, presenting model reviews and assisting in remediation of observations, etc.
• Collaborate and engage with various Synchrony functional teams to uncover, highlight, and identify model risk associated with models. Keep maintenance of relevant model and model validation documentation, perform in depth analysis and reports to support discussions on key analytics and model risks.
• Support model governance initiatives and perform other duties and/or special projects as assigned.
• Perform other duties and/or special projects as assigned.