Staff Product Manager, Financial Risk

What you'll do

• Own the product vision and strategy for the Financial Risk platform, balancing fraud prevention with client experience - every intervention has a cost, and you'll need to make sharp tradeoffs between friction and protection.
• Drive the roadmap for the Decision Platform, our real-time rules engine that evaluates fraud risk across withdrawals, deposits, e-transfers, crypto transactions, and cheque deposits.
• Build and improve fraud investigation tooling and automations - including case management workflows, alert deduplication, and enrichment pipelines - that help our fraud operations team investigate and resolve cases faster.
• Define and evolve the restriction and mitigation framework that enables the right response to fraud signals: suspensions, withdrawal blocks, spend switch blocks, and account-level restrictions.
• Operate as a platform PM, designing extensible APIs, decision schemas, and integration patterns that payment and money movement teams can reliably plug into as new products and payment rails launch.
• Partner deeply with Fraud and Data Science teams on fraud model integration, fraud rule development, and the feedback loops that improve detection accuracy over time.
• Own key risk metrics - fraud loss rates, false positive rates, investigation cycle times, decision latency - and use data to drive prioritization.
• Break down complex, behind-the-scenes infrastructure projects into discrete phases that deliver value incrementally - this is platform work where the "client" is often another engineering team.

Skills you bring

• 6-8+ years of product management experience with significant depth in fraud, risk, or trust & safety - you've built fraud prevention systems, investigation tooling, or risk decisioning platforms and understand the cat-and-mouse dynamics of financial fraud.
• Experience operating as a platform PM: you've built systems that other teams consume, and you know how to balance internal developer experience with business outcomes. You think in APIs, schemas, and extensibility.
• Strong technical fluency: you can go deep on streaming architectures, workflow orchestration, and ML model integration. You don't need to write code, but you need to reason about system design tradeoffs with engineering.
• Comfort with breadth: this role spans real-time decisioning, investigation tooling, restrictions infrastructure, and regulatory reporting. You thrive when context-switching across a wide problem space, not when going narrow.
• Data-driven decision making: you use quantitative analysis to identify fraud patterns, measure intervention effectiveness, and prioritize investments.
• Experience working with fraud operations teams: you understand investigation workflows, alert triage, case management, and the tooling that makes analysts productive. You've closed the loop between detection and investigation.
• A shipping mentality: we don't believe in spending forever analyzing and debating. The best way to validate a fraud rule is to ship it, monitor it, and iterate.
• Strong communication skills: you can translate complex risk and platform concepts for engineering, operations, compliance, and executive stakeholders.
• Ability to work independently: biasing towards action to drive projects forward across a broad surface area.