Senior Data Modeler, Fraud Risk Detection

. Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals .

Posted 9/25/2026full-timeRemote • California • United StatesSenior💰 $82,644 - $143,249 per yearWebsite

Tools & technologies

AWSAzureCloudNumpyPandasPySparkPythonScikit-Learn

Key responsibilities & impact

Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals
Translate fraud questions into testable hypotheses with senior data scientists
Help build machine learning models for fraud detection across account opening, account takeover, and identity risk
Evaluate models using technical and business metrics including precision, recall, fraud capture rate, false-positive rate, and customer friction
Develop and validate features using identity, transactional, behavioral, and other data sources
Write clean, well-tested code and work with engineering to bring models and features into production
Partner with the score monitoring team on model and feature monitoring
Support research on related client questions
Prepare analyses and communicate findings to technical and nontechnical audiences
Report to the Sr. Manager of Fraud Analytics

What you’ll need

1+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field
Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline
Foundation in supervised learning, model evaluation, feature selection, statistical inference, classification, and anomaly detection
Proficiency in Python, with ability to write clean, readable, and well-tested code
Familiarity with pandas, NumPy, and scikit-learn
Investigative mindset and ability to move from unusual data patterns to testable hypotheses
Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools
Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry through coursework, internship, or prior work
Must comply with Experian's standards for data privacy, model documentation, explainability, validation, and governance

Comp & perks

Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, with ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick, and 12 paid holidays
Comprehensive benefits package
Variable pay opportunity
Inclusive and purpose-driven culture
Accommodation support for disabilities or special needs