Data Modeling, Fraud Analytics Consulting (Remote)

Experian

2d • Remote

About The Position

The Fraud Analytics & Commercialization team drives Experian's fraud analytics business through four integrated functions: pre-sales engagement, scalable and custom solutions, consulting, and operational enablement, with the goal of becoming the industry's provider-of-choice. We're looking for a hands-on Data Modeling Expert to join our Fraud Analytics Consulting team as a founding member of the first fraud analytics consortium purpose-built for the TelCo industry. The ideal candidate brings investigative curiosity, an impact-focused mindset, and the ability to translate ambiguous client questions into clear analytical plans executed with confidence, and thrives in unstructured environments where the path forward isn't predefined. In this role, you'll work directly with TelCo clients to uncover emerging fraud trends, co-build detection models with unique cross-industry visibility, and shape the repeatable frameworks, tools, and product roadmap that will define and scale this offering for years to come. Candidates who have taken an unconventional path and demonstrated the curiosity to figure things out without a blueprint will find this role to be a good fit. You will report to the Director, Fraud Analytics Consulting.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Great compensation package and bonus plan.
• Core benefits including medical, dental, vision, and matching 401K.
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree