Build something people love
Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we care deeply about the people using our products. If that sounds like you, keep reading.
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.
Why Wealthsimple
We believe the best investment products shouldn't be reserved for the ultra-wealthy. You'd be working on models that directly shape how millions of Canadians are invested — at a scale few quants get to operate at outside of major institutions, with the autonomy of a startup.
Our culture is built on trust, intellectual honesty, and a genuine obsession with quality. You'll work with people who care deeply about getting the math right and communicating it clearly.
What you'll do
Own the quantitative frameworks behind our direct indexing and model portfolio strategies — from initial design through ongoing validation and improvement
Build and refine models for portfolio optimization, tax-loss harvesting, and risk management that run at scale across millions of client accounts
Partner with engineers and product managers to translate financial objectives into algorithms that actually ship
Run rigorous backtesting, stress testing, and scenario analysis to make sure the models hold up — and know when they don't
Monitor live model performance and drive continuous improvement based on what you see in production
Write clearly: white papers, methodology docs, and internal explainers that make complex math accessible to technical and non-technical audiences alike
What you bring
5+ years in quantitative portfolio management or a related quant finance role
Advanced degree (Master's or PhD) in Mathematics, Statistics, Financial Engineering, Physics, or a related quantitative field
Deep expertise in portfolio optimization, including quadratic programming and large-scale optimization techniques
Hands-on experience with direct indexing and tax-aware portfolio optimization (e.g. TLH and tax alpha generation)
Strong Python skills across the scientific stack (NumPy, pandas, SciPy, CVXPY)
Fluency in portfolio theory, equity markets, and index construction
A track record of explaining complex quantitative work clearly — to engineers, PMs, and clients alike
Experience with tax-aware portfolio management, tax-loss harvesting algorithms, and tax alpha generation
Nice to have
Proficiency with advanced solvers like Gurobi, CPLEX, or MOSEK for large-scale problems
Familiarity with machine learning applications in asset allocation
CFA, FRM, or equivalent certification
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. 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.
ICYMI
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.
Compensation Range: CA$166.4K - CA$208K