VP, Model Validation
The VP, Model Validation is within Synchrony Model Risk Management function and responsible for leading a model validation team of quantitative analysis, focusing on the validation of Finance & Treasury, Anti-Money Laundering, consumer banking, and marketing models and ensure the compliance with regulatory guidelines as well as Model Risk Management policies, standards, and procedures.
Essential Responsibilities :
- Oversee the entire Finance & Treasury and Anti-Money Laundering model risk management process, ensuring compliance with MRM policies and controls.
- Lead and direct in the validation of models (both internal and vendor developed) covering model application, conceptual soundness, data integrity, and model performance.
- Assume complete responsibility for the quality of validations, managing timelines, and ensuring project completion aligns with the regulatory guidelines.
- Maintain current knowledge of the latest advancements in model development and validation practices within the academic, regulatory, and financial services landscapes.
- Represent the MRM in discussions with regulators, senior management, and during internal audits.
- Work collaboratively with various teams across Synchrony to uncover, highlight, and identify model risk associated with models.
- Serve as model risk expert in various groups including MRM working group and Model Risk Oversight Committee.
Qualifications / Requirements :
Master's degree and 12+ years' experience in model development / model validation experience in a US large retail bank OR Bachelor's Degree and 15+ years' experience in model development / model validation experience in a US large retail bank or in lieu of a Bachelor's Degree, A High School Diploma and OR Bachelor's Degree and 19+ years' experience in model development / model validation experience in a US large retail bank.Proven experience in leading model validation efforts in a large bank, particularly in Finance & Treasury including ALM, Liquidity, Pricing, PPNR, etc. and Anti-Money Laundering, with a strong background in machine learning and GEN AI models.Demonstrated ability to navigate and comply with regulatory requirements and guidelines.Strong leadership skills with the ability to manage and direct a high performing team.Excellent communication and collaboration skills, with experience in liaising with regulators, senior management, and cross functional teams.Deep understanding of model risk management frameworks and the ability to drive improvements and best practice within the organization.Strong programming skills with 6+ 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.Desired Characteristics :
Master's degree (or foreign equivalent) in Statistics, Mathematics preferred.Advanced knowledge of Regulatory requirements for Model Risk Management (SR 11-7, OCC 2011-12, etc), CCAR, etc.12+ years of experience in credit loss modeling in areas such as Loss Forecasting, Allowance, Stress Testing, or other areas with consumer credit estimation methodologies.Experience with multiple credit loss methodologies such as PD / EAD, vintage, roll rates, etc.Experience in anti-money laundering models.Solid knowledge in machine learning model techniques.Proven experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables along with a focus on accuracy and attention to detail.Excellent written and oral communication and presentation skills.The salary range for this position is 170,000.00 - 290,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle.
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.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.Our Commitment :
When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.
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Job Family Group : Credit