Senior Data Modeling Analyst - Remote

Job Description

• Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
• Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
• Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
• Design and improve acquisition strategies, including segmentation, decision rules, and cut-off strategies
• Translate findings into applicable business recommendations for partners
• Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring.
• Interpret results of analyses, identify trends and issues and recommend alternatives to support our goals.
• Communicate with and deliver presentations to end-users on analysis results.
• Produce implementation plans and participate in audits to help implement statistical models and other decision tools.
• Help develop analytic and data products and services, and the enhancement of current processes and offerings.

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
• 8+ years' experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling including large-scale data manipulation in Credit Lending industry
• Proficiency in Python (required) and SQL, with experience building scalable pipelines
• Knowledge of statistical models and practical experience in predictive model development (Python, R, SAS).
• Domain experience in financial services, with exposure to credit lending, credit risk modeling, and credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring)
• Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decisioning systems
• Experience joining large datasets from multiple data sources, creating complex logic for data cleaning, outlier detecting, and refining business rules to validate and monitor the model forecast
• Experience solving complex and unique problems

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
• Explore all our exciting benefits here:

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.