Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Fraud Analytics Engineer

Home > Python programming jobs

Fraud Analytics Engineer in Others new

  • Experian
  • Full time
  • Email
  • USA (city not specified)

Responsibilities

  • Build scalable Python backend services and data pipelines that transform large datasets into analytics-ready inputs.
  • Design and maintain modular, object-oriented systems and production data platforms.
  • Develop and operate platforms supporting code execution, data workflows, and the end-to-end analytics modeling lifecycle.
  • Implement automated deployment pipelines and manage infrastructure as code.
  • Improve analytics environments across AWS and on-premises systems while applying security and encryption best practices.
  • Monitor, troubleshoot, and improve data pipeline reliability and performance.
  • Support feature engineering, model training, evaluation, and deployment workflows.
  • Perform large-scale data ingestion, transformation, aggregation, visualization, and summarization.
  • Evaluate and incorporate innovations that improve team capabilities.

Requirements

  • At least 5 years of experience in data science, analytics, or a related field.
  • Bachelor's degree in Statistics, Applied Mathematics, Econometrics, or another quantitative discipline, or an equivalent combination of education and experience.
  • Proficiency in Python, including PySpark, Polars, NumPy, and Pandas, with familiarity in Java.
  • Experience with data structures, object-oriented programming, system design, production systems, and data pipelines.
  • Practical experience with AWS services such as EC2, EMR, and Airflow, plus cloud security practices.
  • Working knowledge of machine learning workflows and analytics model development.
  • Experience with automated deployment pipelines and infrastructure as code.
  • Familiarity with containerization and orchestration tools.
  • Proficiency in UNIX/Linux environments and Bash scripting.

Benefits

  • Great compensation package and bonus plan.
  • Medical, dental, vision, and matching 401(k) benefits.
  • Flexible work environment with remote, hybrid, or in-office options.
  • Flexible time off, including volunteer time off, vacation, sick leave, and 12 paid holidays.
  • This is a hybrid position requiring residence in or near a designated collaboration hub, including locations in California, Texas, Tennessee, New York, Illinois, Washington, Georgia, Massachusetts, and Washington state.
  • Inclusive, purpose-driven culture and equal-opportunity employment practices.

Experian

Experian builds credit reporting, identity and fraud prevention, and data analytics software that help lenders, insurers, healthcare providers, and marketers make decisions; it also offers consumer credit monitoring and scores. The company earns via data licensing, decisioning software, and subsc...

Similar positions

Dataiku Engineer - DM

  • WNS Global Services
  • Full time
  • Others
  • 11/12/2026
  • Bengaluru, India

Forward Deployed Engineer

  • Safe Security
  • Full time
  • Remote
  • 11/12/2026
  • Worldwide

Sr. Product Engineer, Fullstack

  • Pinwheel
  • Full time
  • USA
  • 11/12/2026
  • Salary: $180k - $225k/yr
  • New York, NY

Intern, Software Engineering

  • Workato
  • Full time
  • Others
  • 11/12/2026
  • Chennai, India

Quality Engineer

  • London Stock Exchange Group
  • Full time
  • Others
  • 11/12/2026
  • Hyderābād, India