Experian

Data Modeling, Fraud Analytics Consulting (Remote)

Experian$90K — $120K *
US-AnywhereRemote in United States
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in data science, analytics, or related field.
  • Degree in Statistics, Econometrics, Electrical Engineering, or similar quantitative discipline.
  • Expertise in analytics and machine learning, particularly in fraud, credit, or TelCo.
  • Strong capability in investigative analytics and hypothesis formation.
  • Proven experience in client-facing roles, building credibility across technical and executive levels.
  • Hands-on experience with analytical processes, tools, or frameworks.
  • Strong Python skills for data analysis, including familiarity with large-scale data processing frameworks.

Responsibilities

  • Conduct investigative analytics directly with TelCo clients to spot emerging fraud trends.
  • Co-develop custom fraud detection models alongside client teams using Experian's data and methodologies.
  • Train and onboard clients for effective use of Experian's analytics platform.
  • Translate ambiguous client needs into clear analytical plans and execute them independently.
  • Implement a scalable proof-of-value process to showcase consortium benefits to clients.
  • Create reusable tools and frameworks for consistent project delivery as the consortium evolves.
  • Collaborate with the product team to influence the platform's development roadmap.

Benefits

  • Great compensation package and bonus plan.
  • Core benefits including medical, dental, vision, and matching 401K.
  • Flexible work environment with options for remote, hybrid, or in-office work.
  • Flexible time off including volunteer time, vacation, and paid holidays.
Full Job Description
Job Description

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.

You'll have the opportunity to:
  • 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.


Qualifications
  • 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.


Additional Information

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 volunteer time off, vacation, sick and 12-paid holidays.
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

This is a remote position.

#LI-Remote

About Experian

Experian is a global information services company that provides data and analytical tools to clients around the world. The company was founded in 1996 and is headquartered in Dublin, Ireland. Experian operates in four main business areas: Credit Services, Decision Analytics, Marketing Services, and Consumer Services. The company provides credit reporting services to businesses and consumers, helping them to make informed decisions about credit and financial risk. Experian also provides data and analytics to help businesses manage risk, prevent fraud, and improve their marketing efforts. The company has operations in 45 countries and serves clients in more than 100 countries.
Learn more about Experian
Size
51,493 employees
Industry
Founded
1980
NASDAQ

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