Principal/Staff Product Manager, Financial Risk

Build something people love

Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.

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About the team

The Financial Risk team is responsible for protecting Wealthsimple and its clients from fraud while enabling safe, fast, and scalable money movement. We own the Decision Platform — a real-time rules engine that processes streaming data to make fraud decisions across every major payment rail — as well as the tooling and automations that power fraud investigation workflows, transaction decisioning, account restrictions, and deposit holds. Our systems are the infrastructure layer that payment and money movement teams plug into to move money safely.

About the role

This is a platform PM role with a dual mandate: prevent fraud by building and tuning real-time interventions and decision rules, and enable fraud investigations by building automations and tooling that make our fraud operations team faster and more effective. You'll own a broad surface area — from the streaming decision engine that blocks fraudulent withdrawals in milliseconds, to the case management system that routes alerts to investigators, to the restriction and suspension frameworks that protect compromised accounts.

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

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.