Senior Fraud Strategy Analyst

Vanguard

. Define fraud prevention strategy across real-time payment channels, including risk appetite and control coverage .

Posted 10/16/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in fraud prevention strategies, real-time decisioning platforms, and analytics to enhance fraud detection and mitigate risks. Proven ability to collaborate across teams and translate data insights into actionable strategies.

Highest-signal resume keywords

Fraud Prevention StrategyReal-Time Decisioning PlatformsFraud Rules EnginesData AnalysisPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud DetectionRisk ManagementPerformance OptimizationMachine Learning ConceptsData SegmentationFraud ModelsAccount Takeover ExpertiseTransaction Fraud RisksSocial Engineering ExpertiseControl Testing

Soft Skills

Excellent CommunicationExecutive StorytellingCollaborationDriving Alignment

Tools & Technologies

PythonRSASSQLTableauPower BI

Industry Keywords

Fraud RiskRegulatory StandardsClient FrictionControl CoverageFraud Strategies

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Define fraud prevention strategy across real-time payment channels, including risk appetite and control coverage
Design and manage fraud rules, decision logic, and detection strategies within real-time decisioning platforms
Drive enhancements and implementation of fraud rules engines and decisioning platforms in partnership with engineering
Monitor and improve fraud detection, false positives, and client friction through ongoing control tuning and performance management
Use analytics and model insights to identify trends, refine strategies, and improve detection effectiveness
Collaborate with Product, Engineering, Risk, and Operations to embed fraud controls into customer journeys and new product launches
Maintain disciplined control testing, monitoring, and adherence to risk and regulatory standards

Requirements

What you’ll need

Minimum of five years related work experience
Undergraduate degree or equivalent combination of training and experience
Expertise in account takeover, social engineering, and transaction fraud risks within retirement and workplace channels
Proven experience managing real-time fraud decisioning environments and rules strategies
Strong experience partnering across Product, Engineering, Risk, and Operations
Expertise in fraud rules engines / decisioning platforms
Strong analytical capabilities, including data analysis, segmentation, and performance optimization
Working knowledge of fraud models, machine learning concepts, and model governance
Ability to translate data into actionable fraud strategies and business decisions
Strong experience with Python, R, SAS, SQL, Tableau, or Power BI
Excellent communication and executive storytelling skills
Track record of driving alignment across teams
Graduate degree preferred

Benefits

Comp & perks

Comprehensive health and wellness care
Work-life balance
Investment in your future
Hybrid working model with flexibility
In-person learning, collaboration, and connection
Visa sponsorship