Fraud Risk Analyst

Fiserv

. Execute analytical processes to detect fraud attacks, analyze impacts, determine prevention and mitigation, and monitor the fraud risk ecosystem .

Posted 10/5/2026full-timeUnited StatesMid-LevelSenior💰 $74,000 - $122,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in fraud detection and prevention through analytical processes, utilizing data analysis skills in Python, SQL, and various fraud prevention platforms. Capable of creating actionable insights and presenting complex findings to senior leadership to drive organizational change and improve fraud mitigation strategies.

Highest-signal resume keywords

Fraud PreventionData AnalysisPython ProgrammingSQL ProficiencyMachine Learning

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisFraud Prevention RulesMachine Learning ModelsRoot Cause AnalysisDashboard CreationFinancial Impact AnalysisData MiningReport GenerationAnalytical CapabilitiesEcosystem Monitoring

Soft Skills

CommunicationInfluencingProblem SolvingCollaborationPresentation Skills

Tools & Technologies

SnowflakePalantirAWSAzureSplunkPowerBIActimize

Certifications & Qualifications

ACAMS CAFSACFECoding Certification

Industry Keywords

FinTechEcommerceBankingFraud Risk EcosystemOperational Impact

Tech Stack

Tools & technologies

AWSAzurePySparkPythonSplunkSQL

About the role

Key responsibilities & impact

Execute analytical processes to detect fraud attacks, analyze impacts, determine prevention and mitigation, and monitor the fraud risk ecosystem
Analyze root causes, observed volumes, and financial and operational impacts, and recommend remediation paths
Create fact- and data-based insights to inform and influence organizational change
Identify new fraud attacks, detect attack signatures, and determine root causes using financial and non-financial cardholder account data
Maintain and monitor early-warning monitors to identify abnormal and precursor attack activity
Produce dashboards, daily monitoring reports, and ad hoc reports
Source, analyze, and deduce root causes and effective mitigation options across the network
Manage fraud ecosystem measures to monitor the effectiveness and performance of fraud controls
Conduct ad hoc analysis and maintain analytical capabilities and datasets

Requirements

What you’ll need

Bachelor’s degree in Business and/or Computer Science or equivalent work experience
3+ years of related work experience in FinTech, Ecommerce, Banking and/or fraud prevention
3+ years of experience as a Data Analyst
Competency in Python, PySpark, SQL and/or comparable data analysis skills in Snowflake, Palantir, AWS, Azure, Splunk, PowerBI, Actimize and/or other Fraud Prevention Platforms
Experience building Fraud Prevention Rules and Artificial Intelligence Machine Learning models
Experience mining complex datasets and generating business reports
Experience developing, creating and presenting complex concepts and outcomes to senior leaders in support of positive ROI and decreasing fraud
Valid and unrestricted U.S. work authorization
Candidates must not require sponsorship now or in the future; temporary visas including F-1 (OPT, CPT, STEM), H-1B, H-2, or TN are not accepted
Master’s degree in Computer Science or related field (great to have)
Fraud certification in ACAMS CAFS or ACFE (great to have)
Coding certification and/or documented supporting use case or education (great to have)

Benefits

Comp & perks

Equal Opportunity Employer
Reasonable accommodation during the application and hiring process
No annual incentive opportunity or commissions (explicit compensation exclusion)