Manager - Fraud Analytics

Socket.dev; Pennsylvania; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Socket.dev in the United States (PA) seeks a Fraud Analytics Manager to lead fraud trend analysis, develop mitigation strategies, and deploy data-driven controls across the customer lifecycle.

You will manage a team of analysts, partner with Operations, Compliance, Credit, and Product, and drive continuous improvement through analytics, tooling, and best practices. The role emphasizes real-time insights and performance metrics to protect revenue.

Qualifications

• 8–10 years in fraud risk or credit risk strategy in financial services.
• 3+ years leading projects, mentoring or coaching.
• Experience analyzing large data sets to identify fraud trends.

Responsibilities

• Lead fraud strategy execution through advanced analytics and translate insights into mitigations.
• Manage and develop a team of fraud analysts delivering real-time insights.
• Design and optimize fraud prevention controls across the customer lifecycle.
• Measure fraud performance with statistical analysis and reporting.
• Collaborate with Operations, Compliance, Credit, and Product to implement strategies.

Skills

Advanced analytics

Team leadership

Mentorship

Cross-functional collaboration

Education

Bachelor's degree in Business/Analytics/Statistics

High School Diploma or GED

Tools

Fraud platforms

Analytics tools

Job description

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Job Summary

The Fraud Analytics Manager supports the Account Protection Fraud Strategy function by leading fraud trend analysis, developing mitigation strategies, and deploying data‑driven solutions to manage fraud losses while supporting revenue and growth objectives. This role manages a team of fraud analysts providing real‑time and trend‑based insights into fraud vulnerabilities and mitigation opportunities and is accountable for optimizing fraud controls across the customer lifecycle. The manager measures and monitors fraud performance through statistical analysis to quantify risk and opportunity, advances continuous improvement through control optimization and evaluation of new tools and data sources, and fosters a collaborative, high‑performance culture through technical mentorship and best‑practice adoption.

Essential Job Functions

• Lead fraud strategy execution through advanced analytics by identifying emerging fraud trends, performing root‑cause analysis, and translating insights into actionable mitigation recommendations. Evaluate strategy changes, assess post‑implementation performance, and refine approaches to align with fraud loss targets and business priorities. - (25%)
• Manage and develop a team of fraud analysts responsible for delivering real‑time and trend‑based insights into fraud vulnerabilities and countermeasure opportunities. Oversee hiring, onboarding, performance management, and ongoing development while providing technical and analytical mentorship, promoting best practices, and fostering a collaborative, continuous‑improvement culture. - (25%)
• Design, implement, and optimize fraud prevention controls across the customer lifecycle, leveraging existing analytics tools, fraud platforms, and detection methodologies. Identify opportunities to enhance control effectiveness through data‑driven experimentation, expanded use of alternative data, and evaluation of new tools or capabilities. - (20%)
• Measure, monitor, and report fraud performance using statistical analysis to quantify risk, opportunity, and control effectiveness. Develop and maintain meaningful performance metrics and analysis that inform leadership decision‑making and guide ongoing strategy refinement. - (15%)
• Build and maintain effective relationships with cross‑functional partners, including Operations, Compliance, Credit, and Product teams, to ensure fraud strategies are well‑understood, compliant with regulatory expectations, and executed as designed. Contribute fraud risk expertise during planning and change initiatives to support successful implementation. - (15%)

Minimum Qualifications

• High School Diploma or GED
• 8-10 years of experience in fraud risk and/or credit risk strategy development within financial services.
• 3+ years of experience leading project(s), mentoring and/or coaching experience
• Demonstrated experience analyzing large and complex data sets to identify fraud trends, quantify risk, and support data‑driven mitigation strategies.

Preferred Qualifications

• Bachelor’s Degree in Business, Analytics, Statistics, or a related quantitative discipline.
• 10+ years of experience in fraud risk management, analytics, or related risk disciplines, including leadership of fraud analysts, data analysts, or statisticians.