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 TeamThe 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.
About the RoleAs 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.
In this role you'll have the opportunity toOwn 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
🌸 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. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
ICYMITechnology & Innovation at Wealthsimple: 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.
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 — 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.
AI in Hiring: 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.
Skills Required
- Experience managing engineering teams with technical depth to contribute directly
- Ability to make decisions that involve trade-offs without a clear right answer
- Proven track record partnering across product, compliance, and data science
- Clear communication of technical and risk trade-offs to varied stakeholders
- Comfortable stepping into the codebase and contributing when needed
- Use of AI tools as part of regular workflow
- Build and grow engineering teams that operate in ambiguous risk contexts
- Experience with streaming technologies such as Apache Flink, Apache Spark, or Kafka
- Data engineering background working with large datasets in real time
- Experience in risk or payments
- Experience working closely with analytics or data science teams
- Full stack experience, including React on the frontend and backend experience
Wealthsimple Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wealthsimple and has not been reviewed or approved by Wealthsimple.
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Leave & Time Off Breadth — Time off programs include generous vacation, unlimited sick and mental health days, and a “90 Days Away” option to work internationally. These policies signal broad flexibility and ample opportunities for rest and renewal.
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Parental & Family Support — Paid parental leave is topped up to full salary for extended periods for both primary and secondary caregivers. Structured reboarding and gradual return options reinforce support for growing families.
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Wellbeing & Lifestyle Benefits — Offerings include a substantial mental health budget, Headspace access, wellness and home office stipends, and a remote‑friendly setup. These benefits emphasize whole‑person wellbeing beyond core pay and insurance.
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