Fraud Analytics Engineer

Quick Facts

Individual contributor Fraud Analytics Engineer role at the intersection of data engineering, infrastructure, and machine learning.

Description

Build a scalable fraud analytics ecosystem that supports fraud attribute development, analytics workflows, and end-to-end ML model deployment. You will develop production-ready backend services and data pipelines, supporting feature engineering, model training/evaluation, and deployment across AWS and on-prem environments.

Responsibilities

• Build scalable Python backend services and data pipelines to transform large datasets into clean, usable analytics inputs
• Design and maintain modular, readable, maintainable systems using object-oriented programming
• Develop and operate platforms supporting code execution, data workflows, and the full analytics modeling lifecycle
• Implement CI/CD pipelines and use infrastructure as code for automated, reliable deployments
• Improve analytics environments across AWS and on-prem with security and encryption best practices
• Monitor, troubleshoot, and resolve data pipeline issues to improve reliability and performance
• Support model development workflows for feature engineering, training, evaluation, and deployment
• Ingest, transform, aggregate large-scale data and create visualizations and summaries to communicate insights
• Evaluate and incorporate innovations that enhance team capability

Requirements

• 5+ years of experience in data science/analytics (or related)
• Bachelor’s degree in a quantitative field (Statistics, Applied Mathematics, Econometrics, etc.) or equivalent education/experience
• Python proficiency including PySpark, Polars, NumPy, and Pandas; familiarity with Java
• Strong knowledge of data structures, object-oriented programming, and system design
• Hands-on production experience building/maintaining data pipelines and systems
• Practical AWS experience (EC2, EMR, Airflow) and cloud security practices
• Working knowledge of machine learning workflows and analytics model development
• CI/CD and automated deployments experience plus Infrastructure as Code
• Familiarity with containerization and orchestration
• UNIX/Linux proficiency and scripting (Bash)

Benefits

• Competitive compensation with a bonus plan
• Medical, dental, vision, and matching 401K
• Flexible work environment (remote, hybrid, or in-office)
• Flexible time off, volunteer time off, vacation, sick time, and 12 paid holidays