Manager, Software Development in Toronto

Wealthsimple is Canada’s leading financial innovator, offering 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 Financial Risk Engineering team builds the tooling that keeps Wealthsimple's clients safe from fraud, without getting in the way of the experience they signed up for. We sit at the intersection of engineering, product, compliance, fraud countermeasures, and data science, turning that intersection into working systems. Every decision here is a real trade-off between risk and experience.

As Manager of Software Development for Financial Risk, you'll lead the team responsible for how Wealthsimple detects and responds to fraud. This is a hands-on technical leadership role: you'll set the roadmap and be involved in the work when it counts. You'll be the connective tissue between engineering, product, compliance, fraud countermeasures, and data science.

In this role you'll have the opportunity to:

• Own and evolve the technical roadmap for the Financial Risk Engineering team
• Act as the connective layer between engineering, product, compliance, fraud countermeasures, and data science
• Stay hands-on: jump into the codebase, weigh in on architecture decisions, and help unblock the team when it matters
• Build and grow a team that can operate confidently in an area where the right answer is rarely obvious
• Partner with data science and analytics to turn fraud signals into systems that actually catch things
• Help shape how AI tools get used across the team, from incident investigation to code review

Skills you bring:

• Experience managing engineering teams, with the technical depth to contribute directly
• Comfortable making decisions that involve real trade-offs, without a clear right answer
• A strong track record partnering across non-engineering functions, like product, compliance, data science
• A clear communicator, able to explain technical and risk trade-offs to a range of stakeholders

Nice-to-have's:

• Experience with streaming technologies such as Apache Flink, Apache Spark, or Kafka
• A data engineering background working with large datasets and making them usable in real time
• Experience in risk or payments
• Experience working closely with analytics or data science teams
• Full stack experience, with React on the frontend and backend experience across various languages and frameworks

Who you are:

• You're comfortable stepping into the code when the team needs it
• You make peace with ambiguity — fraud and risk rarely come with a clean answer
• You build trust across teams that don't always share the same priorities
• You use AI as part of how you work, not as an afterthought
• You take ownership of outcomes, not just your own team's output

Why Wealthsimple?

• Top-tier health benefits and life insurance
• Long-term group savings with employer match, through Wealthsimple for Business
• 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year
• 90 days away: work outside Canada for up to 90 days per year
• Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
• We are a hybrid team with over 1,500 employees across North America.

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. We're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people.