Senior/Staff Product Manager, Financial Risk

New
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WealthsimpleFinancial technology
Remote (Canada); Secondary Locations: Remote (US)Full-TimeStaff
Salary not disclosed
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Job Details

Experience
6-8+ years of product management experience
Required Skills
Product Management

Requirements

  • Have 6-8+ years of product management experience with significant depth in fraud, risk, or trust & safety.
  • Have built fraud prevention systems, investigation tooling, or risk decisioning platforms and understand the dynamics of financial fraud.
  • Have experience operating as a platform PM and building systems consumed by other teams.
  • Be able to balance internal developer experience with business outcomes and think in APIs, schemas, and extensibility.
  • Bring technical fluency in streaming architectures, workflow orchestration, and ML model integration, and reason about system design tradeoffs with engineering.
  • Use quantitative analysis to identify fraud patterns, measure intervention effectiveness, and prioritize investments.
  • Have experience working with fraud operations teams, including investigation workflows, alert triage, case management, and analyst tooling.
  • Be comfortable working across real-time decisioning, investigation tooling, restrictions infrastructure, and regulatory reporting.
  • Be able to communicate complex risk and platform concepts to engineering, operations, compliance, and executive stakeholders.
  • Be able to work independently and drive projects forward across a broad surface area.

Responsibilities

  • Own the product vision and strategy for the Financial Risk platform, balancing fraud prevention with client experience.
  • Drive the roadmap for the Decision Platform, a real-time rules engine evaluating 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.
  • Define and evolve the restriction and mitigation framework, including suspensions, withdrawal blocks, spend switch blocks, and account-level restrictions.
  • Design extensible APIs, decision schemas, and integration patterns for payment and money movement teams.
  • Partner with Fraud and Data Science teams on fraud model integration, fraud rule development, and feedback loops.
  • Own risk metrics including fraud loss rates, false positive rates, investigation cycle times, and decision latency, and use data to drive prioritization.
  • Break down infrastructure projects into discrete phases that deliver value incrementally.
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