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Wealthsimple is seeking a Manager of Software Development for Financial Risk to lead a cross-disciplinary team across risk engineering, data science, and product. You’ll set the technical roadmap, stay hands-on when needed, and ensure alignment with compliance and fraud mitigation goals.
The role emphasizes practical trade-offs and strong collaboration with analytics to scale fraud detection. You will guide a team in North America, shaping AI tool usage and architecture while maintaining
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.
We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.
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, and we're the ones who turn that intersection into working systems. We move fast, but we build thoughtfully. Every decision here is a real trade-off between risk and experience, and we take that seriously. If you want to work on problems where the stakes are real and the answers aren't obvious, this is the team for it.
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, but you'll also be in the work when it counts. You'll be the connective tissue between engineering, product, compliance, fraud countermeasures, and data science, making sure those teams are solving the same problem instead of five different ones.
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
Experience managing engineering teams, with the technical depth to contribute directly, not just direct
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, and building trust with each
A clear communicator, able to explain technical and risk trade-offs to a range of stakeholders
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 — building an experience when things go wrong for the client is an important area the team is responsible for
You're comfortable stepping into the code when the team needs it, not just reviewing from a distance
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
We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
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.
We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.