Senior Data Modeler, Fraud Risk Detection

This is a fully remote position, open to applicants in California.

📋 Description

• Analyze intricate datasets to uncover fraud patterns, attack strategies, and behavioral indicators

• Collaborate with senior data scientists to convert fraud inquiries into testable hypotheses

• Assist in developing machine learning models aimed at detecting fraud in account creation, account takeover, and identity risk scenarios

• Assess models utilizing both technical and business metrics such as precision, recall, fraud capture rate, false-positive rate, and customer experience impact

• Create and validate features leveraging identity, transactional, behavioral, and various other data sources

• Produce clean, well-tested code and collaborate with engineering teams to implement models and features in production

• Work alongside the score monitoring team to oversee model and feature performance

• Contribute to research addressing related client inquiries

• Prepare analyses and effectively convey findings to both technical and non-technical audiences

• Report directly to the Senior Manager of Fraud Analytics

⛳️ Requirements

• Minimum of 1 year of experience in data science, machine learning, statistical modeling, or a similar quantitative field

• Bachelor's degree or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or a related quantitative discipline

• Strong foundation in supervised learning, model assessment, feature selection, statistical inference, classification, and anomaly detection

• Proficient in Python, with the capability to write clean, readable, and thoroughly tested code

• Familiarity with libraries such as pandas, NumPy, and scikit-learn

• Investigative mindset with the ability to transition from unusual data patterns to testable hypotheses

• Experience with PySpark, cloud platforms like Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools

• Background in financial services, FinTech, payments, or another regulated or fraud-intensive industry through coursework, internships, or previous employment

• Must adhere to Experian's standards regarding data privacy, model documentation, explainability, validation, and governance

🏝️ Benefits

• Competitive compensation package and bonus plan

• Core benefits including medical, dental, vision, and matching 401K

• Flexible work environment, offering options to work remotely, in a hybrid model, or in-office

• Flexible time off policy including volunteer time off, vacation, sick leave, and 12 paid holidays

• Comprehensive benefits package

• Variable pay opportunities

• An inclusive and purpose-driven organizational culture

• Support for accommodations related to disabilities or special needs