Senior Data Scientist, Banking Data

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 $169 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.

The Banking Data Science team powers the product roadmap for Wealthsimple’s retail and business banking offering, ranging from Chequing & Savings accounts, Lending, Money Movement, Payments, Corporate accounts and more. Data scientists are embedded within cross-disciplinary teams, working directly with product managers, engineers and designers as a lateral strategic partner.

In this role, you'll be the DRI (Directly Responsible Individual) for the Money Movement and Payments domains. The breadth of its scope is vast: you will have ownership of the strategic direction for feature pricing, design experiments to inform the future of the client experience, and build client-facing data products that will reach millions of Canadians. We’re looking for a full-stack Senior Data Scientist who is excited about banking products and can contribute to product growth from day one.

In this role, you will have the opportunity to:

• Design & execute A/B tests to inform pricing, measure launch impact and make data-informed decisions on the future of the product roadmap.

• Build client-facing ML & AI products, such as spend insights.

• Design & implement measurement strategy for upcoming product launches, including metric definition, geo-experimentation and otherwise incrementality analyses.

• Design & build data pipelines and architecture for modelled datasets.

• Use causal inference and complex statistical methods to deep dive into the product problems pace in order to provide actionable insights rooted in a deep understanding of client behaviour.

• Leverage AI to build agentic workflows, deepen your craft and handle operational tasks efficiently.

• Take ownership and ship it—continuously look for the simplest, most effective way to approach challenges.

• Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)

We are looking for someone who:

• Has a product mindset, having worked on customer-facing products with a culture of A/B testing, strong experimental design, product analytics and data storytelling.

• Has experience with the impactful application of complex statistical methods, causal inference, and applied mathematics.

• Is experienced working directly with cross-functional partners, preferably having worked with director-level stakeholders.

• Is passionate about measurement and understanding what drives business outcomes, navigating the complexities of attribution and incrementality.

• Has driven high-stakes product decisions (e.g., pricing, roadmap priorities) with data

• Adjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment.

• Values simplicity and pragmatism, knows when to build sophisticated solutions and when a simpler approach will suffice.

• Strong technical skills in Python and SQL with experience building production-quality data pipelines.

• Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders.

• Fintech experience is a bonus, but not a requirement.

Why you’ll love this role:

• Lead experimentation best practices across Wealthsimple, setting the standard for how teams design and interpret tests to make sharper product decisions.

• High visibility, high impact: Your work directly affects Wealthsimple's product roadmap and influences the banking experience for millions of Canadians.

• Diverse technical challenges: Develop expertise across measurement, A/B testing, causal inference, machine learning, and computational math.

• Strategic domain ownership: Own two key pillars of Wealthsimple's product strategy and build deep expertise in a lasting problem space.

• AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges.

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.

*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.

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.