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ᓄᓇᕗᑦ Nunavut, Canada
Remote only
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.
Operations is the team that makes everything run. Within Operations, the Credit Risk team owns the models, frameworks, and day-to-day execution that keep Wealthsimple's brokerage business running soundly — across margin, delinquency, and dynamic risk reporting. We're a high-ownership team that works closely with Product, Finance, and the business to close gaps, reduce friction, and build for scale. If you take risk seriously and want your work to have a direct impact on how millions of Canadians experience their finances, you'll feel at home here.
We manage billions of dollars on behalf of millions of Canadians, and doing that well means having people who understand not just what a model says — but whether it's saying something meaningful. This is a risk quant role in the true sense: you'll own the development, maintenance, and methodology of the models our teams depend on to make consequential decisions every day. You'll work across margin, stress testing, and capital impact modelling in a CIRO-regulated environment, and you'll be the person who knows when something is off and can fix it.
Own the development, testing, and ongoing maintenance of quantitative risk models, including VaR, SVaR, broad-based stress testing, and single-stock stress testing — updating them as market conditions and regulatory requirements evolve
Write and maintain clear methodology documentation for every model used in day-to-day stakeholder decisions, so the teams consuming your outputs understand what they're working with
Apply deep knowledge of CIRO 5000 margin rules to model how margin requirements and capital would be impacted under a range of stressed conditions
Develop production-quality code across multiple programming languages to build, maintain, and improve model infrastructure
Work cross-functionally with margin, delinquency, and dynamic risk reporting teams to support risk-cognizant decision-making — translating complex model outputs into clear, actionable guidance
Identify and flag model performance issues proactively, including cases where outputs may be inaccurate or non-meaningful given current market conditions
7 to 10 years of experience in a quantitative risk or quantitative analytics role within financial services, preferably in a CIRO-regulated brokerage environment
Genuine hands-on model development experience across stress testing methodologies including VaR, SVaR, broad-based stress testing, and single-stock stress testing — not just model consumption
Deep knowledge of markets, trading instruments, and valuation principles across equities, options, futures, and fixed income
Deep understanding of CIRO 5000 margin rules and the ability to model how margin requirements and capital would be impacted under stressed conditions
Expert-level proficiency in SQL and Python (R being a plus), with demonstrated ability to develop production-quality code
Strong written communication skills, including the ability to produce clear methodology documentation for both technical and non-technical audiences
Ability to work independently on complex technical problems and deliver under tight deadlines without requiring hands-on management through the work
Ability to lead a small team. Depending on the candidate's qualifications/skills, they may be evaluated for a Senior Manager position.
Master’s degree in a quantitative field.
CFA, FRM, or equivalent professional designation
Derivatives Fundamentals and Options Licensing (DFOL) certification
Familiarity with building or contributing to model governance frameworks, including ticketing, prioritization, and model registry infrastructure
Experience presenting quantitative model outputs and methodology to senior stakeholders or regulators
Exposure to margin lending, portfolio lending, or credit risk in a brokerage context
Someone who understands market context deeply enough to know when a model is producing results that don't make sense — and experienced enough to fix it
Rigorous about methodology and documentation; you don't consider something done until the next person can understand it without asking you
Comfortable working independently on hard technical problems; you don't need to be managed through the work, and you know how to prioritize when deadlines are real
A clear, direct communicator who can bring non-technical stakeholders along without losing precision
Thoughtful about how you use new tools, including AI — you see them as ways to work better, not as substitutes for the judgement this work requires
Someone who builds trust with cross-functional partners by being reliable, consistent, and easy to work with even when the subject matter is complex
🌸 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.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
Technology & 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.