VP, Collections and Recovery Strategy Model Management

Job Description:

Role Summary/Purpose:

The VP, Collections and Recovery Strategy Model Management is a multifunction role with several key responsibilities. The successful candidate will lead the model management team to own models used within collections and recovery strategies and partner with the Model Development team to complete model governance related activities. The role will also work closely with the Collections Strategy and Recovery Strategy teams to lead analytic deep dives and root cause analysis to diagnose the impact of model performance on strategies and to help create remediation plans when models or segments of models are not performing as expected. 

Our Way of Working

We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities:

• Assist Business Model Owners in fulfilling all Model Risk Management (MRM) required responsibilities (such as model inventory maintenance, model change log, etc.) for scoring models used in collections and recovery strategies

• Maintain comprehensive model technical documentations

• Support model and strategy development related exams, audits & reviews, and develop remediation plans for timely resolution on any issues uncovered through those requests

• Partner with the Model Development team to perform model level root cause analysis when models used in strategies have severely underperforming segments

• Drive strategy level deep dive analysis, especially for strategies (including decision tree segmentations) that utilize two or more models (e.g. Collections Early Stage Contact Strategy Segmentation, Recovery Legal vs. Agency Segmentation) to meet enhanced MRM standard for interconnected models

• Oversee the creation and execution of action plans for strategy redevelopment when underperforming models or model monitoring segments are negatively impact strategies

• Lead the work in authoring narratives for on-going model monitoring executive summaries explaining technical concepts in easily understood language

• Partner with Strategy Development, Strategy Implementation, Model Development, IT, Operation, 2LOD (MRM, Legal/Compliance/Fair Lending, etc.), Supplier Risk Management and Source to Pay to manage developing/sourcing new models or retiring existing models in a timely & effective manner

• Develop and validate decision tree segmentations, oversee implementation and monitor ongoing performance

• Perform ad hoc analytics and work on special projects as required

Qualifications/Requirements:

• Bachelor’s degree or higher in a quantitative discipline and 8+ years of experience in Risk, Credit, Consumer Lending or relevant experience and in lieu of degree, 10+ years of relevant experience

• 3+ years of experience in model development or validation

• 3+ years of experience in decision tree segmentation development

• 5+ years hands on programming experience leveraging tools such as SAS/SQL/R/Python etc.

• 5+ years working with large data sets

Desired Characteristics:

• Master’s degree in Statistics, Data Science or similar fields

• Excellent writing, communication and interpersonal skills

• Proven ability to coach and develop more junior analysts

• Strong leadership skills to drive change and results

• Machine learning experience including the ability to conduct gradient boosting, neural network, random forest and other innovative techniques

• Ability to explain to non-technical audience how an AI model or machine learning system reached a decision, prediction, or recommendation

Grade/Level: 12

The salary range for this position is 135,000.00 - 230,000.00 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

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