Senior Fraud Analytics Consultant

Analytica

Senior Fraud Analytics Consultant providing fraud analytics domain expertise within government services. Analyzing fraud schemes and supporting operational decision-making for program use cases.

Posted 8/1/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in fraud analytics and identity theft analysis, with a strong background in statistical analysis, machine learning, and model development. Proficient in using analytical tools and programming languages to support decision-making in highly regulated environments.

Highest-signal resume keywords

Fraud AnalyticsPython ProgrammingSQL Database ManagementStatistical AnalysisIRS MBI Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud AnalyticsIdentity Theft AnalysisFinancial Crime AnalyticsStatistical AnalysisMachine LearningAnomaly DetectionRisk Scoring TechniquesPredictive ModelingModel ImplementationData Analysis

Soft Skills

Clear CommunicationAnalytical ThinkingStakeholder EngagementDocumentation SkillsCollaboration

Tools & Technologies

PythonSQLSASRDashboards

Certifications & Qualifications

IRS MBI Clearance

Industry Keywords

Compliance AnalyticsFederal Agency ExperienceFinancial Institution ExperienceHighly Regulated EnvironmentOperational Decision-Making

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Provide fraud analytics domain expertise to guide analytical development, model interpretation, rule evaluation, and operational decision-making across program use cases.
Analyze fraud schemes, filing behaviors, treatment processes, and return-level/case-level patterns to help distinguish identity theft, fabricated entities, and other emerging risks.
Support development, refinement, and monitoring of predictive models, business rules, filters, and analytical measures used to detect fraud and identity theft in pre-refund processing.
Prepare clear analytical summaries, briefing materials, dashboards, discussion points, and documentation for stakeholder reviews, leadership inquiries, operational meetings, and oversight requests.

Requirements

What you’ll need

Bachelor's degree in Mathematics, Statistics, Computer Science, or 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, supervised and unsupervised fraud detection approaches, or risk scoring techniques.
Must have active or ability to obtain IRS MBI clearance.

Benefits

Comp & perks

bonuses
employer paid health care
training and development funds
401k match