Lead Fraud Intelligence & Strategy Analyst

Nasdaq

. Hunt for emerging fraud threats and patterns across transaction data, case data, marked fraud, and other signals within the Verafin network .

Posted 10/1/2026full-timeUnited StatesSenior💰 $116,000 - $203,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in fraud analytics and strategy, with a strong focus on SQL, data analysis, and the ability to derive actionable insights from complex transactional data. Proficient in communicating findings to both technical and non-technical stakeholders, while leveraging AI and automation to enhance fraud detection.

Highest-signal resume keywords

Fraud AnalyticsSQLData AnalysisFraud TypologiesAI/ML Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud AnalyticsSQLData AnalysisFraud StrategyPattern RecognitionData VisualizationAutomationAI/ML ConceptsPythonR

Soft Skills

Excellent CommunicationData Storytelling

Tools & Technologies

Analytical ToolsData Visualization Platforms

Industry Keywords

Fraud DetectionFinancial ServicesPayment FraudAccount TakeoverCybersecurity Threat Intelligence

Tech Stack

Tools & technologies

Cyber SecurityPythonSQL

About the role

Key responsibilities & impact

Hunt for emerging fraud threats and patterns across transaction data, case data, marked fraud, and other signals within the Verafin network
Turn fraud intelligence into actionable insights for clients and internal teams
Explain emerging activity, attack patterns, and response opportunities
Analyze how enterprise clients use Verafin scores and data within their fraud strategies
Identify opportunities to improve fraud detection and reduce false positives
Partner with Product, Customer Success, Sales, and Marketing
Translate findings into client recommendations, product improvements, and broader fraud intelligence
Help scale fraud analysis through automation, AI, and data architecture improvements
Report to an AVP of Product Strategy

Requirements

What you’ll need

5+ years of experience in fraud analytics, fraud strategy, or related areas
Strong SQL and data analysis skills
Experience working with large, complex transactional data sets
Strong understanding of fraud typologies and financial services, including scams, account takeover, and payment fraud
Proven ability to spot patterns and anomalies in complex data and turn them into clear, practical recommendations
Excellent communication skills, with the ability to tell a compelling data story to technical teams and non-technical clients
Experience with AI/ML concepts, automation, or agentic AI tools (nice to have)
Experience working with enterprise financial institutions or within fraud/cybersecurity threat intelligence (nice to have)
Familiarity with payment systems and analytical tools, including Python, R, or data visualization platforms (nice to have)

Benefits

Comp & perks

Generous annual bonus/commission (short-term incentive)
Equity (long-term incentive)
Comprehensive benefits
401(k) program with 6% employer match
Employee Stock Purchase Program with 15% discount
Student loan repayment program up to $10k
Company paid life and disability plans
Generous paid time off
Comprehensive medical, dental and vision coverage
Health spending account with employer contribution
Paid flex days to support mental wellbeing
Gym membership discounts
Hybrid home/office schedule (for most positions)
Paid parental leave
Fertility benefits
Paid bereavement leave
Company gift matching program
Employee resource groups
Paid volunteer days
Education Assistance Program
Robust job skills training
Professional development opportunities
Opportunity for growth