Data Modeling, Fraud Analytics Consulting

Experian

Data Modeling Expert in Fraud Analytics Consulting driving insights and models for TelCo clients at Experian. Collaborating with clients to identify fraud trends and enhance analytics frameworks.

Posted 7/10/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $100,649 - $174,459 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudNumpyPandasPySparkPythonSpark

About the role

Key responsibilities & impact

Work directly with TelCo clients to conduct investigative analytics, identify emerging fraud trends, and develop insights that only cross-industry consortium data can reveal.
Co-build custom fraud detection models with client teams, guiding them through Experian's proprietary data, analytics environment, and fraud detection methodologies.
Train and onboard clients on the platform, helping them build familiarity and confidence with Experian's analytics environment.
Translate ambiguous client questions and needs into well-defined hypotheses and analytical plans, then execute them independently and communicate findings clearly.
Define and implement a repeatable, scalable proof-of-value process that demonstrates the consortium's value to prospective and existing clients.
Build reusable tools, templates, and analytical frameworks that enable consistent, efficient delivery as the consortium grows.
Build confidence and credibility with client analysts, client executives, and internal Experian product and sales partners.
Collaborate with Experian's product team as an expert user, providing direct input to influence the development roadmap.

Requirements

What you’ll need

6+ years of experience in data science, analytics, or a related field.
Degree (undergraduate or graduate) in Statistics, Econometrics, Electrical Engineering, or another quantitative discipline, or an equivalent combination of education and experience that shows quantitative reasoning and analytical ability.
Deep expertise in analytics and machine learning, with hands-on experience across the full modeling lifecycle; preference for experience in fraud, credit, or TelCo analytics.
Investigative analytics mindset - experienced at identifying patterns, forming hypotheses, and drawing meaningful conclusions from large-scale datasets.
Demonstrated capability to operate independently, translate ambiguous client needs into well-defined hypotheses, and execute clear analytical plans from start to finish.
Experience working directly with clients or business partners in a consulting or advisory role, building confidence and credibility across technical and executive audiences.
Experience designing or contributing to scalable analytical processes, tools, or frameworks.
Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas; familiarity with large-scale data processing frameworks and cloud platforms, especially Spark and AWS.
Willingness to travel periodically for on-site client workshops and engagements.

Benefits

Comp & 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 volunteer time off, vacation, sick and 12-paid holidays.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisFraud DetectionModeling LifecycleInvestigative AnalyticsHypothesis FormationScalable Analytical ProcessesStatistical AnalysisQuantitative ReasoningCloud Data ProcessingLarge-Scale Data Analysis

Soft Skills

Independent ExecutionClient Relationship BuildingClear CommunicationCredibility with ExecutivesCollaborative Mindset