Senior Analyst, Quantitative Research

Wealthsimple Technologies,
CA$123,200 - CA$154,000Hybrid

About The Position

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. About the Investment Research team The Investment Research Team is the heart of all Investment products designed by Wealthsimple. We deeply understand markets and financial securities, and develop best in class strategies and products that meet the needs of our expanding client base. Our expertise is equal parts analytical and strategic, both in deeply understanding how financial products and securities work, as well as building a vision for how we can apply those tools to further the financial freedom of our clients.

Requirements

  • Quantitatively rigorous — you have a strong foundation in statistics, linear algebra, and optimization, and you're comfortable applying these to real financial problems.
  • Hands-on with data — you're proficient in Python (pandas, NumPy, statsmodels, or similar) and have experience working with financial time series data.
  • Financially literate — you understand how asset allocation, factor investing, and portfolio construction work in practice, not just in theory.
  • A clear communicator — you can translate model outputs and analytical findings into plain language that informs decisions across the business.
  • A rigorous thinker — you approach problems skeptically, stress-test your own assumptions, and know the limits of your models.
  • Collaborative and humble — you value making your teammates better and are as eager to learn as you are to contribute.
  • Self-directed — you take ownership of your work, manage complexity well, and ship.

Nice To Haves

  • Experience with portfolio construction or risk systems in a wealth management, asset management, or fintech context.
  • Familiarity with Canadian market structure, regulations, or retail investment products.
  • Exposure to optimization libraries or risk platforms.

Responsibilities

  • Own and advance our quantitative research agenda — design, build, and validate portfolio optimization models, factor frameworks, and risk analytics that directly shape how we construct and manage client portfolios.
  • Drive portfolio optimization research — explore mean-variance, risk-parity, and other optimization frameworks, with a focus on practical implementation at scale for a large retail client base.
  • Translate research into production — work closely with Engineering to operationalize models and ensure research findings move from prototype to live portfolio impact.
  • Partner cross-functionally — collaborate with Product, Marketing, and Engineering teams on Wealthsimple's highest-priority investment initiatives, communicating complex quantitative concepts clearly to non-technical stakeholders.
  • Monitor and improve model performance — establish backtesting standards, track live model outcomes, and iterate based on empirical results.
  • Understand utilized risk models — including factor-based risk decomposition, tail risk analysis, and stress testing across asset classes — to ensure our portfolios behave as intended across a range of market environments.
  • Stay current — engage with academic literature and industry developments in quantitative finance to keep our research at the leading edge.

Benefits

  • 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
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