AVP – Collections & Recovery Strategy Model Management
| Company | Synchrony Financial |
|---|---|
| Location | Sharonville, OH, USA, Bentonville, AR, USA, Stamford, CT, USA, Dallas, TX, USA, Chicago, IL, USA, Altamonte Springs, FL, USA, Charlotte, NC, USA, Alpharetta, GA, USA, Rapid City, SD, USA, New York, NY, USA, Phoenix, AZ, USA, Draper, UT, USA, Kansas City, KS, USA, St Paul, MN, USA, Cincinnati, OH, USA |
| Salary | $115000 – $200000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree or higher in a quantitative discipline and 5+ years of experience in Risk, Credit, Consumer Lending or relevant experience and in lieu of degree, 8+ years of relevant experience
- 2+ years of experience in model development or validation
- 2+ years of experience in decision tree segmentation development
- 3+ years hands on programming experience leveraging tools such as SAS/SQL/R/Python etc.
- 3+ years working with large data sets
Responsibilities
- Assist the VP, Collections & Recovery Strategy Model Management to 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
- Help maintain comprehensive model technical documentations
- Support model and strategy development related exams, audits & reviews, and help 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
- Perform 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
- Support the creation and execution of action plans for strategy redevelopment when underperforming models or model monitoring segments are negatively impact strategies
- Assist in authoring narratives for on-going model monitoring executive summaries explaining technical concepts in easily understood language
- Develop and validate decision tree segmentations, support implementation and monitor ongoing performance
- Perform ad hoc analytics and work on special projects as required
Preferred Qualifications
- Master’s degree in Statistics, Data Science or similar fields
- Good writing, communication and interpersonal skills
- Machine learning experience including the ability to conduct gradient boosting, neural network, random forest and other innovative techniques