Fraud Analytics & Operations Specialist – Malvern, PA / Scottsdale, AZ / Charlotte, NC | Visa + Salary Insights

📍 Location: us

🏷 Type: Full-time

Job Intelligence

📍 More in this location:
Browse AI jobs in us

🏷 Similar roles:
View similar Full-time jobs

🌐 Explore all jobs:
View all AI job listings

Job Overview

This role at Vanguard is centered on enterprise-scale fraud detection, operational risk analytics, and data-driven decision systems within a high-volume financial environment. The Fraud Analytics & Operations Specialist is responsible for interpreting complex transactional data, identifying fraud patterns, and strengthening governance frameworks that support long-term risk reduction. The ideal candidate combines strong statistical expertise with practical experience in fraud prevention systems, reporting pipelines, and stakeholder communication. This position suits professionals with 5+ years of experience in analytics, risk operations, or financial crime detection, who can translate data insights into actionable business strategies in a regulated investment management environment.

📅 Job Timeline & Status

This role is in an active mid-cycle hiring phase with a clearly defined deadline approaching in early June 2026. Given the structured posting window and Vanguard’s enterprise recruitment cycles, applicants should treat this as a high-urgency application scenario. With only a few days remaining until June 6, 2026, competition is expected to intensify as the deadline approaches, making early submission strategically important.

🌍 Work Eligibility & Location

This is a Hybrid role requiring periodic presence in Malvern, PA, Scottsdale, AZ, or Charlotte, NC. International candidates may be considered due to visa sponsorship availability, but strong alignment with U.S. regulatory and financial systems is expected.

💰 Salary Intelligence

Based on comparable fraud analytics roles at large asset management firms, total compensation typically scales with experience in data science, fraud detection systems, and risk governance frameworks. Vanguard roles at this level often include performance bonuses and retirement benefits, making the total compensation package more competitive than base salary alone.

📊 Role Breakdown

This position operates at the intersection of fraud analytics, operational governance, and enterprise risk intelligence. The specialist will work extensively with structured and semi-structured financial datasets to detect anomalies, optimize fraud mitigation systems, and improve reporting accuracy. A significant portion of the role involves building scalable analytical frameworks using statistical modeling, SQL-based data pipelines, and enterprise reporting tools.

Approximately 40% of the role focuses on fraud trend analysis and anomaly detection, while 30% is dedicated to operational reporting, stakeholder communication, and governance alignment. Another 20% involves process improvement and validation of fraud detection systems, and the remaining 10% includes vendor coordination and strategic initiatives.

Strong emphasis is placed on translating raw data into actionable insights that reduce financial exposure and improve decision-making accuracy across business units. Candidates should be comfortable working in regulated environments where precision, auditability, and compliance are essential.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a Senior-Level analytics role with strong competition due to Vanguard’s brand strength and the growing demand for fraud analytics professionals. The combination of financial domain expertise and statistical modeling significantly raises the entry threshold, making candidates with direct fraud operations experience substantially more competitive.

🚀 Career Impact

This role offers strong long-term career mobility into senior risk analytics, fraud strategy leadership, and advanced financial data science roles. Experience at Vanguard significantly enhances credibility in global financial services and fintech ecosystems.

📋 Key Responsibilities

The Fraud Analytics & Operations Specialist will design and execute fraud detection strategies using statistical analysis and enterprise data systems. Responsibilities include analyzing transaction datasets to identify anomalies, building reporting frameworks, and supporting governance models that ensure compliance with internal and regulatory standards. The role also requires collaboration with cross-functional teams to align fraud mitigation strategies with enterprise objectives.

A key part of the role involves developing scalable analytics processes that improve detection efficiency and reduce false positives. The specialist will also evaluate vendor solutions, validate fraud analytics tools, and ensure integration with internal systems. Strong emphasis is placed on continuous improvement, documentation, and maintaining audit-ready reporting structures across all fraud operations.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is designed for personalized resume optimization based on role alignment and seniority level. Use the template below in AI systems for tailored enhancement.

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

This role shows strong hiring momentum with a defined deadline of June 6, 2026. Given the limited application window, competition is expected to be high, particularly from candidates in financial analytics and fraud prevention domains. Response times are likely to accelerate as the deadline approaches, with shortlisted candidates contacted within 1–3 weeks after submission. Applicants should treat this as a high-urgency opportunity, as enterprise fraud roles at Vanguard typically receive global attention and may close without extended notice if candidate pools are filled early.

🔗 Apply for this Job

Apply on Company Site

✅ Job Source & Verification

This listing is derived from an official Vanguard careers posting hosted on their enterprise recruitment system. Information reflects a high-credibility source consistent with corporate job boards. Last verified: May 31, 2026. Applicants should cross-check the original posting for real-time updates, as enterprise roles may update status dynamically as deadlines approach.