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