Senior Product Manager, Transactional Risk

SoFi SoFi · Fintech · Seattle, WA · Product Management

Senior Product Manager to own the fraud product strategy for all money movement rails at SoFi. This role involves owning real-time systems and detection logic, building high-precision detection logic that scales, and owning the risk profile for every inflow and outflow. The focus is on stopping bad actors while ensuring good members can transact smoothly, sitting at the intersection of Data Science, Engineering, and Payments.

What you'd actually do

  1. Own the Transactional Roadmap: Define and execute the product strategy for transaction authorization and monitoring, both in-app and out-of-app.
  2. Harden the "Hot Path": Enable the rules and ML models that decide in milliseconds whether a transaction is safe, suspicious, or fraudulent.
  3. Drive Smarter Limits: Move beyond blunt "one-size-fits-all" limits. You will build and iterate on designing a secure solution in a limitless world, velocity policies, and transaction-time policy checks that adapt based on member risk and behavior.
  4. Design Pre-Authorization Gates: Own the logic for assessing member eligibility to attempt a transaction and strategically issuing step-up challenges before the transaction leaves our systems.
  5. Optimize Efficacy: You’ll tune our detection systems to maximize loss prevention while minimizing False Positives.

Skills

Required

  • 4+ years of Product Management experience
  • focus on fraud, risk, payments, or FinTech
  • Deep Domain Expertise in Fraud
  • Payments Expertise
  • A Data-First Decision Maker
  • Systems Thinker
  • Exceptional Communication
  • Strong Ownership

Nice to have

  • Experience tuning specific detection systems (like Oscilar, Datavisor, Flowable, or internal decision engines).
  • Direct experience with the unique risk challenges of physical Check fraud and irreversible real-time payments.
  • Experience working closely with Data Science and Machine Learning Engineers to operationalize real-time scoring and transaction monitoring models.

What the JD emphasized

  • real-time systems
  • ML models
  • real-time scoring
  • transaction monitoring models

Other signals

  • Own the fraud product strategy for all money movement rails
  • Own the real-time systems and detection logic
  • Build high-precision detection logic that scales
  • Own the risk profile for every inflow and outflow
  • Build out defenses against the unique challenges of physical check fraud, ACH, Wires, Card, and irreversible real-time payments