高级欺诈分析师
Sr. Fraud Analyst
在 Wave，我们帮助小型企业蓬勃发展，让社区的核心更加有力。我们工作在一个充满创意能量和灵感的环境中。无论你身处何地，以何种方式完成工作，你都能获得成功和连接所需的资源。在 Wave，真正的成功标志是敢于创新、快速学习，并慷慨分享你的知识。
高级分析师（欺诈预防与检测）是一位实际参与欺诈风险工作的专业人员，负责识别欺诈模式、评估控制措施，并改进数字客户和支付体验中的预防和检测策略。该职位分析账户活动、交易行为、支付流程、模型输出、案件趋势和其他风险信号，以识别新兴威胁并推荐可行的控制改进方案。
高级分析师与产品、工程、数据科学、合规、客户支持和运营部门合作，改进规则、评分、决策、警报、供应商工具、自动化和实时检测能力。该职位负责提供清晰的分析、可操作的建议和可衡量的欺诈结果改进，包括减少欺诈损失、增强欺诈捕获、降低误报率、减少人工审核量、提高运营效率，并平衡客户体验。理想的候选人具备扎实的欺诈专业知识、分析严谨性、紧迫感，以及将模糊的欺诈信号转化为明确行动的能力，从而加强业务。
以下是你的影响力所在：
- 分析欺诈趋势、攻击模式、账户行为、交易活动、支付流程、模型输出和其他风险信号，以识别新兴威胁和控制漏洞
- 设计、调整、测试和评估欺诈规则、风险评分策略、检测逻辑、警报和决策控制，以提高欺诈预防和检测效果
- 监控欺诈绩效指标，包括欺诈损失、欺诈捕获、误报、人工审核量、客户摩擦和控制有效性，并根据可衡量的结果提出改进建议
- 对欺诈事件、升级情况、异常活动、未检测到的欺诈和控制失败进行根本原因分析，并将发现转化为具体的纠正措施
- 与产品、工程、数据科学、分析、合规、客户支持和运营部门合作，实施欺诈控制增强措施并提升实时检测能力
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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
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 . 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.
Originally posted on Himalayas