Plaid11 дней назад
Product Manager, Fraud Data
Полная занятостьУдалёнка
Обязанности
- 01Own the feature roadmap for Protect: what we build, how we validate it, and how we measure coverage and fill rates
- 02Build and manage the labeling pipeline as a product, including customer retros, data partnerships, and the label feedback loop into model training
- 03Define the product requirements for fraud vector scores, including signal selection, precision/recall targets, and customer-facing output design
- 04Partner with data scientists and MLEs as a day-to-day collaborator, not just a requester. Translate between model needs and product requirements in both directions
- 05Work with GTM and Protect PM on how attribute improvements and new scores translate into customer-facing value propositions
Требования
- 01Real hands-on fraud prevention experience: fraud vectors, detection systems, risk signal evaluation. Not general fintech.
- 02Direct 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.
- 03Experience at a fraud vendor (SentiLink, Sardine, Socure, Persona, Incode) or a fraud operations team at a large fintech or bank
- 04Background with ML model inputs/outputs: feature engineering, offline evaluation, and moving from experimentation to production
- 05Specialization in a specific fraud vector (ATO, synthetic identity, or first-party fraud)
Условия
- 01Additional compensation in the form of equity and/or commission
- 02Comprehensive benefit plan including medical, dental, vision, and 401(k)
- 03Pay based on scope and responsibilities, candidate's work experience and skillset, and location
- 04Pay and benefits subject to change
- 05Headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam