Product Manager (Fraud Data)

Join our Fraud team as a Product Manager, where you will play a crucial role in building the largest network of trusted identities in the US. You will work at the intersection of fraud expertise and data science, collaborating directly with our data team to build and improve our fraud intelligence platform, Protect. Your responsibilities will include owning the feature roadmap for Protect, managing the labeling pipeline, defining product requirements for fraud vector scores, and partnering with data scientists and machine learning engineers. This is an exciting opportunity to make a significant impact in the financial services industry.

• Collaborate with the data team to build and improve Protect's signal stack, including attributes, scores, and fraud vector intelligence.
• Own the feature roadmap for Protect, including defining product requirements for fraud vector scores and managing the labeling pipeline.
• Work closely with data scientists and machine learning engineers to translate between model needs and product requirements.
• Direct experience collaborating with data scientists or ML engineers to ship data-driven products. You need to be able to talk to a DS about feature distributions, label quality, and model performance, not just read summaries
• Real hands-on fraud prevention experience: fraud vectors, detection systems, risk signal evaluation. Not general fintech
• Experience at a fraud vendor (SentiLink, Sardine, Socure, Persona, Incode) or a fraud operations team at a large fintech or bank
• Background with ML model inputs/outputs: feature engineering, offline evaluation, and moving from experimentation to production
• Specialization in a specific fraud vector (ATO, synthetic identity, or first-party fraud)