Staff Product Manager (Financial Risk)

Role Overview

Join Wealthsimple as a Staff Product Manager (Financial Risk) for the Financial Risk team. You will protect Wealthsimple and its clients from fraud while enabling safe, fast, and scalable money movement.

This is a platform PM role with a dual mandate:

• Prevent fraud
• Enable fraud investigations

Key Missions

• Own product vision & strategy for the Financial Risk platform, balancing fraud prevention with client experience.
• Drive the roadmap for the Decision Platform: a real-time rules engine that evaluates fraud risk across transactions.
• Build and improve fraud investigation tooling & automations, including:
  • Case management workflows
  • Alert deduplication
  • Enrichment pipelines
• Partner with Fraud and Data Science teams and own key risk metrics.
• Lead across a broad surface area: real-time decisioning, investigation tooling, restrictions infrastructure, and regulatory reporting.

Responsibilities

• Use quantitative analysis to identify fraud patterns and measure effectiveness of interventions.
• Translate complex risk and platform concepts across engineering, operations, compliance, and executive stakeholders.
• Work independently with an action-oriented, shipping mindset.
• Think in APIs, schemas, extensibility, and platform enablement for other teams.

Requirements

• 6–8+ years product management experience with significant depth in fraud, risk, or trust & safety.
• Experience building or operating fraud prevention systems, investigation tooling, or risk decisioning platforms; understand fraud “cat-and-mouse” dynamics.
• Shipping mentality: ship rules, monitor, and iterate.
• Platform PM experience: systems consumed by other teams; balance internal developer experience with business outcomes.
• Experience with fraud operations workflows (investigation, alert triage, case management) and closing the loop between detection and investigation.
• Strong technical fluency to reason about system design tradeoffs (streaming architectures, workflow orchestration, ML model integration).

Nice-to-Haves

• Deep familiarity with restrictions infrastructure and regulatory reporting within fraud/risk programs.