Senior Data Modeling Analyst

🕒 May 16

🏄 California – Remote

🏄 California – Remote

💵 $100.6k - $174.5k / year

⏰ Full Time

🟠 Senior

🧐 Analyst

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 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.

🎯 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

🏖️ Benefits

• Flexible Time Off: 20 Days • 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