Director, Fraud Analytics – AI Modeling

PwC

. Set strategic direction for fraud analytics and AI modeling initiatives within managed services engagements .

Posted 11/11/2026full-timeUnited StatesLead💰 $155,000 - $410,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in fraud analytics and AI modeling, utilizing Python and advanced analytical tools to develop scalable solutions for financial crimes. Proven ability to lead cross-functional teams, mentor emerging leaders, and drive strategic growth through innovative analytics approaches.

Highest-signal resume keywords

Fraud AnalyticsAI ModelingPython ProgrammingData VisualizationClient Relationship Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud Detection ModelsScenario DesignAdvanced Analytics SolutionsRegulatory RemediationData Quality ReviewControl EnhancementFraud MonitoringInvestigationsAnalytical ThinkingMarket Opportunity Identification

Soft Skills

LeadershipMentoringStrategic PlanningInnovationCommunication

Tools & Technologies

Reporting ToolsAI-Enabled Analytical ToolsData Science Tools

Industry Keywords

Financial CrimesRisk ManagementRegulatory ComplianceData AnalyticsBusiness Growth

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Set strategic direction for fraud analytics and AI modeling initiatives within managed services engagements
Lead development of fraud detection models, scenario design, and advanced analytics solutions for monitoring and investigations
Oversee client delivery for regulatory remediation, alert management, and third-party fraud detection technology support
Drive business growth by identifying new service opportunities and shaping data and AI offerings for financial crimes challenges
Translate fraud risk requirements into scalable analytics approaches using Python, reporting tools, and data visualization methods
Guide cross-functional teams in model validation, data quality review, and control enhancement across fraud programs
Develop executive relationships with client leaders to align analytics solutions with operating model and compliance needs
Apply AI fluency and analytical thinking to improve fraud surveillance, reduce false positives, and strengthen case prioritization
Mentor emerging leaders and contribute to a culture of innovation, inclusion, and professional accountability

Requirements

What you’ll need

At least a Bachelor's degree
At least 8 years of experience
Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
Demonstrating fraud analytics, AI modeling, or advanced detection methods
Utilizing Python, data science, and AI-enabled analytical tools
Developing fraud monitoring, investigations, or prevention controls
Translating analytics insights into client-facing recommendations
Driving thought leadership across risk and regulatory topics
Balancing strategic planning, innovation, and market opportunity identification
Up to 80% travel
PwC does not intend to hire candidates who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the stated policy

Benefits

Comp & perks

Annual discretionary bonus
Medical insurance
Dental insurance
Vision insurance
401(k)
Holiday pay
Vacation
Personal and family sick leave