Analyst II, Fraud Analytics

Overview

Role focused on driving improvements in fraud decisioning strategies through data analysis.

Ideal candidate should have 2-4 years of experience in customer risk management and be fluent in SQL and Python or R.

Locations

• United States

Requirements

• 2-4 years experience in customer risk management
• Fluent in SQL and Python or R
• Bachelor's or Master's in a quantitative discipline

Responsibilities

• Explore data to identify product improvement opportunities
• Translate analysis into business logic recommendations
• Develop frameworks for fraud machine learning models
• Evaluate data sources to solve fraud risk
• Own analytics workflow and create dashboards
• Partner with Machine Learning on fraud strategies
• Collaborate with Product and Engineering teams

Benefits

• Health care coverage
• Flexible Spending Wallets
• Competitive vacation and holiday schedules
• Employee stock purchase plan