欺诈解决方案顾问
Fraud Solutions Consultant
我们相信，人们与财务的互动方式将在未来几年发生巨大变化。我们致力于通过构建数千名开发者用来创建自己产品的工具和体验，推动这一变革。Plaid 为数以百万计的人们依赖的工具提供支持，帮助他们过上更健康的财务生活。我们与 Venmo、SoFi、多家财富500强公司以及许多大型银行合作，让人们能够轻松地将财务账户连接到他们想要使用的应用和服务。Plaid 的网络覆盖美国、加拿大、英国和欧洲的12,000家金融机构。公司成立于2013年，总部位于旧金山，在纽约、西雅图、华盛顿特区、罗利、伦敦和阿姆斯特丹设有办事处。
欺诈团队的使命是利用金融网络数据帮助公司检测和防止欺诈。我们认为交易模式、设备信号和行为数据在欺诈预防中是一个被低估的工具。
欺诈咨询负责人负责建立并完善我们的“回顾即服务”和POC计划，并推动我们欺诈产品的采用。该职位位于我们的数据团队和客户之间（即该职位不会构建模型，但需要充分理解输出结果，以便清晰有力地呈现商业案例，并与技术利益相关者和客户合作）。
职责：
- 全程负责回顾和POC流程，并与客户和内部利益相关者协作
- 与客户紧密合作，帮助他们理解Protect的ROI，并就实施我们的欺诈产品提出建议
- 推动回顾后的跟进工作，将回顾结果转化为生产使用
- 在客户和产品之间充当反馈循环，推动我们的Protect路线图
资格要求：
- 在金融科技、金融服务或相关领域（如软件/科技）具有5-10年的客户导向型分析岗位经验
- 有与数据科学团队密切合作的经验
- 有管理咨询型客户项目的经验，您需负责交付成果和客户关系
- 能够解读机器学习模型的输出（例如精确率/召回率、分数分布），并向非技术人员解释
- [可选] 具有数据科学或机器学习工程背景，特别是在欺诈或风险团队
- [可选] 在欺诈、身份验证或风险领域有经验
查看英文原文
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
Our Fraud team's mission is to help companies detect and prevent fraud using financial network data. We believe that transaction patterns, device signals, and behavioral data are an underleveraged tool in fraud prevention.
The Fraud Consulting Lead is responsible for building and maturing our retro-as-a-service and POC program and driving adoption of our fraud products. The role sits between our data team and the customer (i.e., the role will not build the models, but will need to understand the output well enough to clearly and compellingly present the business case and work with technical stakeholders and customers.)
Responsibilities:
- Own the retro and POC process end-to-end and collaborate with customers and internal stakeholders at Plaid
- Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products
- Drive post-retro follow-through to convert retro results into production usage
- Serve as a feedback loop between customers and product to drive our Protect roadmap
Qualifications:
- 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech)
- Experience working closely with data science teams
- Experience managing consultative customer engagements where you owned the deliverable and the relationship
- Comfort interpreting ML model output (e.g., precision/recall, score distributions) and explaining it to a non-technical audience
- [Nice to have] Background in data science or ML engineering, particularly on a fraud or risk team
- [Nice to have] Experience in fraud, identity, or risk — either from a fraud prevention vendor, a fraud team at a bank or fintech, or consulting on risk engagements
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here https://plaid.com/legal/#candidate-privacy-notice.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.