# Fraud Analytics Engineer at Experian

Experian is hiring a Fraud Analytics Engineer. Level rates it Little AI ●○○○; you can [apply on Experian](https://jobsbylevel.com/go/63df6152-375c-4d76-8794-50c21f093411?utm_medium=ai-agent).

AI Level 1, AI centrality 15 out of 100. United States, UNITED STATES, United States.

## Details

- Company: [Experian](https://jobsbylevel.com/companies/experian)
- AI level: AI Level 1 (score 15 out of 100)
- Location: United States, UNITED STATES, United States
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/63df6152-375c-4d76-8794-50c21f093411?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=fraud-analytics-engineer-at-experian-59b18f

## Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. At Experian, we believe great work happens when people come together. We're focused on attracting talent in and around our designated hub locations who are open to collaborating with colleagues in person. Aligning employees to these talent markets helps foster collaboration, strengthen team connections, and support long-term career growth within Experian. This is a hybrid position and you will reside in or near one of our collaboration hubs: Costa Mesa & San Jose, CA · Allen & Austin, TX · Franklin, TN · New York, NY · Schaumburg, IL · Washington, DC · Atlanta, GA · Boston, MA · Seattle, WA Experian's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. We're looking for an Analytics Engineer that operates at the intersection of data engineering, infrastructure, and machine learning. You'll help to develop the analytics ecosystem that enables fraud attribute development, model building, and model deployment . Examples include identifying opportunities to increase efficiency and stability across the full modeling lifecycle. This is an individual contributor position and you will report into the Analytics and Data Science Director. What you'll do Build scalable backend services and data pipelines in Python, transforming large datasets into clean, usable inputs for analytics workflows Design and maintain systems using object-oriented programming principles, with a focus on readability, modularity, and long-term maintainability Develop and operate platforms that support code execution, data workflows, and the end-to-end analytics modeling lifecycle Implement CI/CD pipelines and manage infrastructure as code to promote automated, reliable deployments Improve analytics environments across AWS and on-premises systems, applying security and encryption best practices throughout Monitor, troubleshoot, and resolve data pipeline issues; guide ongoing improvements to system reliability and performance Support model development environments by ensuring feature engineering, model training, evaluation, and deployment workflows Handle large-scale data ingestion, transformation, and aggregation, and create data visualizations and summaries that communicate findings Help evaluate and incorporate innovations that can enhance the team's capabilities 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, and system design principles Hands-on experience building and maintaining production systems and data pipelines Practical experience with AWS services (e.g., EC2, EMR, Airflow) and cloud security practices Working knowledge of machine learning workflows and analytics model development Experience with CI/CD pipelines, automated deployments, and Infrastructure as Code Familiarity with containerization and orchestration tools Proficiency in UNIX/Linux environments and scripting (e.g., Bash) #LI-hybrid Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/fraud-analytics-engineer-at-experian-59b18f

Source: https://jobsbylevel.com/jobs/fraud-analytics-engineer-at-experian-59b18f

## Cite this page

Level. https://jobsbylevel.com/jobs/fraud-analytics-engineer-at-experian-59b18f.

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