Analyst II, Full Stack (Fraud Analytics)

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Proactively explores data to identify opportunities to improve existing products in Trust and Safety
• 2
  Develops scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models
• 3
  Evaluates innovative data sources to solve fraud risk and partners with the data engineering team to develop data pipelines
• 4
  Owns end-to-end analytics workflow, including defining success and performance metrics and creating actionable dashboards and reports
• 5
  Partners with Machine Learning to build fraud and identity verification strategies for new product, market, and user segments
• 6
  Collaborates with Product and Engineering to identify high-impact points in the funnel to drive user acquisition and retention

RequirementsAI-extracted

• 2-4 years of work experience in customer risk management at a payments or financial company
• Fluent in SQL and Python
• Ability to clearly communicate findings and recommendations to both technical and non-technical audiences
• Strong time management skills and the ability to manage multiple projects and priorities
• Bachelor’s or Master’s degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics
• Knowledge of the fundamentals of payment processing and industry risk trends

Perks & BenefitsAI-extracted