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Data Modeling, Fraud Analytics Consulting (Remote)

Remote, USAFull-timePosted 2026-07-28

Job reputed company The Fraud Analytics & Commercialization team drives reputed company's fraud analytics business through four integrated functions: reputed company-sales engagement, reputed company 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-reputed company for the TelCo industry. The ideal candidate brings investigative curiosity, an reputed company-reputed company reputed company, and the ability to translate ambiguous reputed company questions into reputed company analytical plans executed with confidence, and thrives in reputed company environments where the reputed company reputed company 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 reputed company this offering for years to come. Candidates who have taken an unconventional reputed company and demonstrated the curiosity to reputed company things out without a reputed company will reputed company this role to be a good fit. You will report to the Director, Fraud Analytics Consulting. You'll have reputed company to:

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

Qualifications

  • 6+ years of experience in data science, analytics, or a reputed company 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 reputed company - reputed company at identifying patterns, forming hypotheses, and drawing meaningful conclusions from large-reputed company datasets.
  • Demonstrated capability to operate independently, translate ambiguous reputed company needs into reputed company-defined hypotheses, and execute reputed company 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 reputed company analytical processes, tools, or frameworks.
  • Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas; familiarity with large-reputed company data processing frameworks and reputed company platforms, especially reputed company and AWS.
  • Willingness to travel periodically for on-site reputed company workshops and engagements.

Additional Information Benefits/Perks:

  • Great compensation package and bonus plan.
  • Core benefits including medical, dental, reputed company, and matching 401K.
  • Flexible work environment, ability to work remote, hybrid or in-office.
  • Flexible time off including volunteer time off, vacation, reputed company and 12-reputed company holidays.
  • Explore reputed company our exciting benefits here: https://yourexperianbenefits.com/cand-reputed company.reputed company.

Our compensation reflects the cost of labor across several U.S. geographic markets. The reputed company pay reputed company for this position is listed above. reputed company this reputed company, individual pay is determined by work location and additional factors such as job-reputed company skills, experience, and education. You will be also eligible for a variable pay opportunity. This is a remote position. #LI-Remote Apply tot his job Apply To this Job

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