Senior Credit ML Model Developer — Remote Options

Synchrony; New York (NY); Hybrid; USD 115,000 - 200,000; Full time

Job summary

Synchrony is seeking a skilled ACM - Model Development professional to support analytics and modeling for customer account management. You will execute core elements of the model development lifecycle, including data collection, cleansing, and documentation, while collaborating with Model Risk Management and business stakeholders.

Ideal candidates have 4+ years of hands-on model development experience in financial services, plus proficiency in Python, Spark, AWS, and ML techniques.

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics or Data Science.
• Approximately 4+ years hands-on experience as a model developer/validator in financial services, credit risk or fraud analytics.
• 4+ years of hands-on experience with data science tools and environments (Python, Spark, AWS SageMaker, H2O, SAS).

Responsibilities

• Perform hands-on data collection and data cleansing to support ACM model projects.
• Partner with Model Risk Management on model validations and annual reviews.
• Analyze model performance and explain results to business stakeholders.
• Utilize advanced ML techniques for data mining of customer risk.
• Prepare and maintain model documentation for regulatory and compliance standards.
• Lead automation initiatives using AWS, Python, Tableau.

Skills

Data analysis

Problem solving

Communication

Big data analytics

Education

Bachelor's degree in Statistics/Mathematics/Data Science

Tools

Python

Spark

AWS SageMaker

H2O

SAS

Tableau

Job description

Synchrony is seeking a skilled ACM - Model Development professional to support analytics and modeling for customer account management. You will execute core elements of the model development lifecycle, including data collection, cleansing, and documentation, while collaborating with Model Risk Management and business stakeholders.

Ideal candidates have 4+ years of hands-on model development experience in financial services, plus proficiency in Python, Spark, AWS, and ML techniques.