客户成功经理 - 欺诈/反洗钱策略
Customer Success Manager - Fraud/AML Strategy
DataVisor 是全球领先的基于人工智能的欺诈和风险平台，为行业提供最佳的整体检测覆盖率。通过一个开放的 SaaS 平台，支持任何数据的轻松整合和丰富，DataVisor 的欺诈和反洗钱（AML）解决方案可以无限扩展，并使组织能够实时应对不断演变的欺诈和洗钱活动。其专利的无监督机器学习技术、先进的设备智能、强大的决策引擎以及调查工具协同工作，从第一天起就带来显著的性能提升。DataVisor 的平台架构可灵活支持不同业务单元的多种使用场景，与传统的点解决方案相比，大幅降低了总体拥有成本。DataVisor 被公认为行业领导者，已被全球多家财富 500 强公司采用。
我们获奖的软件平台由在大数据、机器学习、安全和可扩展基础设施领域世界级的专家团队打造。我们的文化是开放、积极、协作且以结果为导向。加入我们吧！
职位概述
作为客户成功经理（CSM），你将作为关键企业客户的战略合作伙伴，帮助他们通过先进的欺诈检测、AML 合规和运营优化实现投资回报。你将负责一组财富 500 强公司的客户，涵盖金融科技、银行和电子商务领域，提供专业指导，帮助他们最大化我们行业领先的 SaaS 平台的价值。
你的职责包括监控检测系统性能，就如何使用机器学习模型、规则引擎和设备智能信号的最佳实践提供建议，并识别降低欺诈或洗钱风险、优化运营的机会。你将与产品和工程团队跨职能合作，代表客户需求并支持持续创新。
此职位结合战略咨询、数据驱动决策和实际的产品专业知识，为客户带来可衡量的影响。
要求
- 作为指定企业客户的首要联系人和值得信赖的顾问，确保顺利上线、采用和长期价值实现
- 理解客户商业模式、欺诈/AML 风险暴露和运营需求，定义成功标准并制定定制化解决方案策略
- 与客户紧密合作，确保我们的欺诈检测解决方案与客户目标保持一致
查看英文原文
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Job Summary
As a Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You’ll lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.
Your responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, rules engine, and device intelligence signals, and identifying opportunities to reduce fraud or money laundering risks and streamline operations. You’ll work cross-functionally with Product and Engineering teams to advocate for customer needs and support ongoing innovation.
This role combines strategic consulting, data-driven decisioning, and hands-on product expertise to deliver measurable impact for our clients.
Requirements
- Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization
- Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies
- Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency
- Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes
- Translate customer insights into actionable feedback for internal roadmap planning and product improvements
- Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration
- Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment
- Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases
Skillset Requirements
- 3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries
- Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection
- Experience working with machine learning-based detection systems and/or rule engines for fraud prevention
- Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation
- Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders
- Confident in leading customer-facing discussions and executive presentations
- Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously
- Bachelor’s degree in a technical, analytical, or business-related field; advanced degree a plus
Benefits
Base salary, bonus & PTO
Originally posted on Himalayas