Senior Data Modeling Analyst

Experian • Costa Mesa, CA

2d • Hybrid

About The Position

Experian is a global data and technology company that powers opportunities for people and businesses worldwide. This role involves independently delivering analytical projects across the consumer credit lifecycle, including acquisition, account management, and collections. The analyst will build statistical and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. They will use technologies such as SQL, PySpark, Python, and AWS to gain insights from large volumes of data. Key responsibilities include designing and improving acquisition strategies, translating findings into business recommendations, collaborating with clients, interpreting analysis results, and communicating findings to end-users. The role also involves producing implementation plans, participating in audits, and contributing to the development of analytic products and services.

Requirements

• 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

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior