Senior Fraud Prevention & Detection Lead

Embedded Shishya; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Wave is seeking a Senior Analyst in Fraud Prevention & Detection to identify fraud risk patterns and improve prevention and detection strategies across digital experiences. You will work with Product, Engineering, Data Science, Compliance, Customer Care, and Operations to enhance rules, scoring, alerts, and real-time detection capabilities.

The role focuses on delivering clear analyses, actionable recommendations, and measurable improvements in fraud outcomes, including reduced losses and lower

Qualifications

• 5+ years in fraud prevention, detection or related fields.
• Hands-on in designing and tuning fraud rules and risk scoring.
• Strong data analysis using dashboards, Excel, SQL.
• Experience monitoring fraud metrics and outcomes.
• Ability to translate complex signals into actionable controls.

Responsibilities

• Analyze fraud trends, patterns, account behavior and signals to identify threats.
• Design, tune, test, and evaluate fraud rules and detection logic.
• Monitor fraud metrics and recommend improvements.
• Conduct root cause analysis of fraud events and control failures.
• Partner across teams to implement fraud controls and real-time detection.
• Support the fraud capability roadmap and automation.
• Prepare analyses and executive-ready summaries explaining risks and actions.
• Support testing, launch, and optimization of new fraud tools.
• Maintain SOPs and governance artifacts for consistent execution.

Skills

Fraud prevention

Fraud detection

SQL

Excel

Data analysis

Payments risk

AI/ML understanding

Tools

Rules engine

Fraud tooling

Vendor platforms

Job description

Wave is seeking a Senior Analyst in Fraud Prevention & Detection to identify fraud risk patterns and improve prevention and detection strategies across digital experiences. You will work with Product, Engineering, Data Science, Compliance, Customer Care, and Operations to enhance rules, scoring, alerts, and real-time detection capabilities.

The role focuses on delivering clear analyses, actionable recommendations, and measurable improvements in fraud outcomes, including reduced losses and lower