Senior Data Modeling Analyst
New
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSPythonSQLData AnalysisMachine LearningCI/CDPySpark
Requirements
- Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related quantitative field.
- 8+ years of experience in statistical/quantitative analysis, machine learning, and statistical modeling in credit lending.
- Proficiency in Python and SQL.
- Experience building scalable pipelines.
- Knowledge of statistical models and predictive model development (Python, R, SAS).
- Domain experience in financial services, specifically credit lending, credit risk modeling, and decisioning lifecycle.
- Experience with model deployment, productionization, CI/CD, and version control.
- Experience joining large datasets and creating complex logic for data cleaning and outlier detection.
Responsibilities
- Deliver analytical projects across the consumer credit lifecycle including acquisition, account management and collections.
- Build statistical and machine learning models through all phases from design to implementation.
- Use SQL, PySpark, Python, and AWS for data insights.
- Design and improve acquisition strategies, segmentation, and decision rules.
- Translate findings into business recommendations for partners.
- Collaborate with internal and external clients on analysis parameters and performance measures.
- Interpret results to identify trends and recommend alternatives.
- Communicate and present analysis results to end-users.
- Produce implementation plans and participate in model audits.
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