Sr. Fraud Analyst

Wave HQ; California (MO); Hybrid; USD 70,000 - 106,000; Full time

Job summary

Wave seeks a Senior Analyst, Fraud Prevention & Detection to own hands-on fraud risk work across digital customer and payment experiences. You will analyze activity, model outputs and risk signals to identify threats and propose practical control improvements.

Collaborating with Product, Engineering, Data Science, Compliance, and Operations, you will design rules, monitor performance, and drive measurable fraud outcomes while balancing customer experience.

Qualifications

• 5+ years of fraud prevention, detection, and payments risk in fintech, banking, e-commerce or finance.
• Hands-on experience designing, tuning, testing, and evaluating fraud rules, risk scoring, detection logic, alerts, and automated decisioning.
• Strong analytical capability using dashboards, Excel, SQL or data querying tools, model outputs, and transaction trends.
• Experience monitoring fraud performance metrics such as losses, capture, false positives, and manual review volume.
• Ability to identify root causes and translate signals into specific control recommendations.
• Proven ability to partner with Product, Engineering, Data Science, Analytics, Compliance, Customer Care and Operations.
• Knowledge of fraud tools, rules engines, and real-time decisioning environments.
• Practical understanding of AI/ML model outputs and their monitoring in production.

Responsibilities

• Analyze fraud trends, attack patterns, account behavior, transaction activity and risk signals to identify threats and gaps.
• Design, tune, test, and evaluate fraud rules, risk scoring, detection logic, alerts and decisioning controls.
• Monitor fraud performance metrics and recommend measurable improvements.
• Conduct root cause analysis on fraud events and translate findings into corrective actions.
• Partner with cross-functional teams to implement fraud control improvements and real-time detection capabilities.
• Support roadmap by identifying opportunities to improve rules, scoring, identity verification, and automation.
• Prepare clear analyses, business cases and executive-ready summaries explaining risk and actions.
• Support testing, launch, monitoring and optimization of new fraud tools and processes.
• Maintain SOPs, reporting routines and governance around fraud prevention execution.

Skills

Fraud prevention/detection

Rule tuning

Analytics & SQL

Dashboarding

Cross-functional collaboration

AI/ML model awareness

Real-time decisioning

Fraud tools & platforms

Tools

Fraud tools platforms

Rules engines

Vendor platforms

Real-time detection tools

Job description

At Wave, we help small businesses to thrive so the heart of our communities beats stronger. We work in an environment buzzing with creative energy and inspiration. No matter where you are or how you get the job done, you have what you need to be successful and connected. The mark of true success at Wave is the ability to be bold, learn quickly and share your knowledge generously.

The Senior Analyst, Fraud Prevention & Detection is a hands-on fraud risk professional responsible for identifying fraud patterns, evaluating controls, and improving prevention and detection strategies across digital customer and payment experiences. This role analyzes account activity, transaction behavior, payment flows, model outputs, case trends, and other risk signals to identify emerging threats and recommend practical control improvements.

The Senior Analyst partners with Product, Engineering, Data Science, Compliance, Customer Care, and Operations to improve rules, scoring, decisioning, alerting, vendor tools, automation, and real-time detection capabilities. This role is accountable for delivering clear analysis, actionable recommendations, and measurable improvements in fraud outcomes, including reduced fraud losses, stronger fraud capture, lower false positives, reduced manual review volume, improved operational efficiency, and balanced customer experience. The ideal candidate brings strong fraud expertise, analytical rigor, urgency, and the ability to turn ambiguous fraud signals into clear actions that strengthen the business.

Here’s how you will make an impact:

• Analyze fraud trends, attack patterns, account behavior, transaction activity, payment flows, model outputs, and other risk signals to identify emerging threats and control gaps
• Design, tune, test, and evaluate fraud rules, risk scoring strategies, detection logic, alerts, and decisioning controls to improve fraud prevention and detection outcomes
• Monitor fraud performance metrics, including fraud losses, fraud capture, false positives, manual review volume, customer friction, and control effectiveness, and recommend improvements based on measurable results
• Conduct root cause analysis on fraud events, escalations, anomalous activity, missed fraud, and control failures, translating findings into specific corrective actions
• Partner with Product, Engineering, Data Science, Analytics, Compliance, Customer Care, and Operations to implement fraud control enhancements and improve real-time detection capabilities
• Support the fraud capability roadmap by identifying opportunities to improve rules, scoring, AI/ML model performance, identity verification, behavioral signals, vendor tooling, automation, and workflows
• Prepare clear analysis, recommendations, business cases, and executive-ready summaries that explain fraud risks, tradeoffs, expected impact, and required actions
• Support testing, launch, monitoring, and optimization of new fraud tools, vendor capabilities, detection strategies, and process improvements
• Maintain SOPs, reporting routines, control documentation, and governance artifacts that support consistent fraud prevention and detection execution

You Thrive Here By Possessing the Following:

• 5+ years of experience in fraud prevention, fraud detection, fraud strategy, payments risk, digital identity, fintech, banking, e-commerce, tax, or financial services fraud programs
• Hands-on experience designing, tuning, testing, and evaluating fraud rules, risk scoring strategies, detection logic, alerts, fraud controls, or automated decisioning workflows
• Strong analytical capability using dashboards, Excel, SQL or data querying tools, model outputs, transaction trends, case analysis, and operational data to identify fraud risks and recommend actions
• Experience monitoring and improving fraud performance metrics such as fraud losses, fraud capture, false positives, manual review volume, operational efficiency, and customer friction
• Demonstrated ability to identify root causes, connect patterns across data sources, and translate complex fraud signals into specific control recommendations
• Experience partnering with Product, Engineering, Data Science, Analytics, Compliance, Customer Care, and Operations to implement fraud control improvements
• Working knowledge of fraud tools, vendor platforms, rules engines, risk scoring systems, alerting processes, workflow tools, or real-time decisioning environments
• Practical understanding of AI/ML fraud model outputs, model performance monitoring, feature evaluation, or data-driven decisioning in an operational environment

$70,400 - $105,600 a year

At Wave, we value diversity of perspective. Your unique experience enriches our organization. We welcome applicants from all backgrounds. Let’s talk about how you can thrive here!

Wave is committed to providing an inclusive and accessible candidate experience. If you require accommodations during the recruitment process, please let us know by emailing [e-mail]. We will work with you to meet your needs.

We use Google Gemini, a secure AI assistant, during interviews for note-taking purposes only. Notes are kept confidential and are not shared outside the hiring process. This allows our interviewers to stay fully focused on you during the conversation.

This advertised posting is a current vacancy.