Senior Credit Modeling Lead — ML, AWS & Risk Analytics

Synchrony

Draper (UT)

Hybrid

USD 115,000 - 200,000

Full time

4 hours ago
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Job summary

Synchrony’s Credit Account Management (ACM) – Model Development role focuses on building and validating models for customer account management. You will execute core steps in the model lifecycle, leverage Python, Spark, and cloud tools, and collaborate with risk and validation teams.

The role emphasizes hands-on development, data mining for risk analysis, regulatory documentation, and automation with AWS. Travel may be required as part of business needs.

Qualifications

  • Bachelor’s degree in a quantitative field; analytics focus.
  • 4+ years hands-on model development or validation in financial services.
  • 4+ years with data science tools and environments (Python, Spark, AWS SageMaker, H2O, SAS).
  • Strong written and verbal communication; ability to present to diverse audiences.
  • Willingness to travel for business.

Responsibilities

  • Perform hands-on data collection, cleansing, and model development for ACM projects.
  • Partner with Model Risk Management on validations and annual reviews.
  • Analyze model performance and explain results to stakeholders.
  • Apply advanced ML techniques for data mining and risk profiling.
  • Prepare model documentation for regulatory and compliance needs.
  • Lead automation initiatives using AWS, Python, Tableau, and related tools.
  • Develop expertise in Synchrony’s data warehouse and analytics ecosystem.
  • Undertake additional duties or special projects as needed.

Skills

Python
Spark
AWS SageMaker
H2O
SAS

Education

Bachelor’s degree in Statistics/Mathematics/Data Science
Master’s degree or MBA (adv analytic focus)

Tools

Tableau

Job description

Synchrony’s Credit Account Management (ACM) – Model Development role focuses on building and validating models for customer account management. You will execute core steps in the model lifecycle, leverage Python, Spark, and cloud tools, and collaborate with risk and validation teams.

The role emphasizes hands-on development, data mining for risk analysis, regulatory documentation, and automation with AWS. Travel may be required as part of business needs.

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