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Home/Remote Data Jobs/Wealthsimple/Senior Analyst, Quantitative Research
W
Wealthsimple

Senior Analyst, Quantitative Research

Wealthsimple

Remote (Canada)Full-timeCA$123.2K - CA$154KPosted 8 days ago
Data & Analytics

Summary

Wealthsimple is hiring a Senior Analyst, Quantitative Research to join their Data & Analytics team. BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. Key skills: Python, AI.

About the role

Build something people love

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 $125 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.

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.

What you’ll do

  • 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.

Who you are

  • 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.

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.

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