
Risk Model Validator
4 days ago
The primary responsibility of the Model Validation Manager is to ensure that statistical and Machine Learning models used by our organization are accurate, reliable, and compliant with regulatory requirements.
This involves conducting thorough reviews of model development data quality, methodology conceptual soundness and accuracy, and model performance testing including back-testing, sensitivity analysis, benchmarking, etc. The ideal candidate will have a strong understanding of quantitative analysis methods or approaches in relation to credit risk models and be able to communicate complex technical information effectively to both technical and business teams.
Required Skills:
- Strong programming skills with 2+ years hands-on experience utilizing Python, Spark, SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data.
- Bachelors/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. Financial services or banking; in lieu of a Master's degree, 4+ years experience in model development/model validation experience in the retail section of financial services or banking.
- Knowledge and experience of customer-facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management, and marketing models.
Benefits:
- This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally).
- Excellent written and oral communication and presentation skills.
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