Senior Fraud Analytics Consultant

Analytica
United States
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Stakeholder communication","Analytical thinking","Documentation","Data interpretation"]

Provide fraud analytics domain expertise to interpret model and rule outputs at the return/case level, identify fraud patterns and filing behaviors, and translate findings into actionable mitigation and operational recommendations. Support development, refinement, and monitoring of predictive models and rules used for pre-refund fraud and identity-theft detection, and create clear briefing materials, dashboards, and documentation for stakeholder and leadership review sessions.

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FursaFursa
Analytica
Analytica
1 month ago

Senior Fraud Analytics Consultant

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Provide fraud analytics domain expertise to interpret model and rule outputs at the return/case level, identify fraud patterns and filing behaviors, and translate findings into actionable mitigation and operational recommendations. Support development, refinement, and monitoring of predictive models and rules used for pre-refund fraud and identity-theft detection, and create clear briefing materials, dashboards, and documentation for stakeholder and leadership review sessions.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Provide fraud analytics domain expertise to guide analytical development, model interpretation, and rule evaluation across program use cases.
  • •Analyze fraud schemes, filing behaviors, treatment processes, and return-level/case-level patterns to distinguish identity theft, fabricated entities, and emerging risks.
  • •Support development, refinement, and monitoring of predictive models, business rules, filters, and analytical measures for pre-refund fraud detection.
  • •Validate model and rule outputs through return-level or case-level review.
  • •Prepare analytical summaries, briefing materials, dashboards, and documentation for stakeholder reviews, leadership inquiries, and operational meetings.

Pay and Benefits

Perks:Health Insurance401kLearning BudgetAnnual Bonus

Key Requirements

  • •Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
  • •Minimum 5 years of experience in fraud analytics, identity theft analysis, financial crime analytics, compliance analytics, or related program support.
  • •Experience using Python, SQL, SAS, and/or R for model implementation.
  • •Demonstrated experience supporting fraud analytics activities within a federal agency, financial institution, or highly regulated environment.
  • •Working knowledge of statistical analysis, machine learning, anomaly detection, network analysis, and supervised/unsupervised fraud detection or risk scoring.
Experience:5+ yearsFraud analyticsIdentity theft analysisFinancial crime analyticsCompliance analytics
Education:Bachelor's
Skills:Stakeholder communicationAnalytical thinkingDocumentationData interpretation
Tech Stack:PythonSQLSASRMachine learningAnomaly detectionNetwork analysis

Eligibility

Security Clearance:IRS MBI

Company Brief

Analytica
Analytica is a federal-focused consulting and technology services firm delivering data, analytics, AI, and IT modernization solutions to health, civilian, and national security agencies in the U.S.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Revenue: USD 25M to 50M
Growth: Established Company
Headquarters: Washington, United States
Founded: 2009
Glassdoor
Glassdoor: 3.4
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