Senior FinTech Engineer: AI-Driven Workflow Automation

Wealthsimple

Toronto

On-site

CAD 100,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Top-tier health benefits
Wealthsimple for Business match
Flexible vacation and wellness days

Job summary

Wealthsimple, Canada's leading financial innovator, is seeking a Senior Software Engineer who thrives on deep financial-services domain knowledge and hands-on problem solving. You will embed with operations teams, automate high-volume workflows end-to-end, and build AI-augmented automation to reduce risk and improve efficiency.

You'll collaborate across Brokerage, AML/Compliance, and Engineering, translating requirements into robust, reusable solutions.

Qualifications

  • Senior software engineer with strong full-stack range and comfort across data pipelines, internal tooling, and AI-augmented workflow automation.
  • A genuine collaborator with non-engineers and ability to translate needs into shippable solutions.
  • Bias for shipping in the weeds and ability to work without a PM-scope backlog.

Responsibilities

  • Embed with enablement teams to understand workflows and friction.
  • Automate high-volume manual workflows end-to-end, including regulatory reporting and reconciliations.
  • Advance risk oversight for leveraged offerings with automated alerts and daily reconciliations.
  • Partner with AI agentic workflows team to reuse components and ensure security and auditable code.
  • Prioritize high-impact work with Brokerage leadership and operators.

Skills

Full-stack engineering
Data pipelines
AI-augmented automation

Job description

Wealthsimple, Canada's leading financial innovator, is seeking a Senior Software Engineer who thrives on deep financial-services domain knowledge and hands-on problem solving. You will embed with operations teams, automate high-volume workflows end-to-end, and build AI-augmented automation to reduce risk and improve efficiency.

You'll collaborate across Brokerage, AML/Compliance, and Engineering, translating requirements into robust, reusable solutions.

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