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 teamThe Growth Product Data Science team consists of data scientists with diverse educational backgrounds. Our team is responsible for leading data science initiatives across the global client experience – partnering with Consolidation, Product Marketing, Lifecycle Marketing, and Product Engagement to deliver quantitative insights, personalization, and predictive models that directly shape Wealthsimple's growth strategy.
We are a full-stack data science team, meaning we own the end-to-end lifecycle: data modeling, dashboards, predictive models, experiment design and analysis, ad-hoc analysis, and opportunity identification. We operate as consultative partners to our stakeholders – solving problems, identifying opportunities, and owning targeting – not executing tasks. We measure our success by the dollar value we deliver, the ideas we surface that get prioritized, and the model-based solutions we ship that outperform the status quo.
This role will primarily partner with our Consolidation product team, which is focused on creating an incredible first 30-day experience for new clients and driving them to make Wealthsimple their primary financial relationship. The team's work spans onboarding, product-led consolidation, the Home experience, Tiers, and account discovery. With touchpoints across so many critical surfaces, you'll be uniquely positioned to have outsized impact across all of these areas.
Be the dedicated data science partner to the Consolidation product team, owning the analytics and modeling that power product-led growth across onboarding, activation, and full consolidation.
Design and analyze rigorous product experiments across the client journey, from first funding through to full asset consolidation, using A/B testing, non-inferiority tests, and other causal inference methods to measure the impact of product changes on key growth metrics.
Partner with the team's Personalization DRIs to incorporate machine learning models, such as next-best-account recommendations and personalized value propositions, into product flows where they will deliver the highest impact to clients.
Develop deep product analytics to understand how clients move through the consolidation funnel, linking external accounts, reaching their first $5k, adopting multiple products, and identify where the biggest opportunities exist to accelerate that journey.
Create and maintain data models and dashboards that monitor consolidation KPIs (Premium+ conversion, registrant-to-funded rates, linking rates, activation milestones) with a focus on data quality, accessibility, and efficiency.
Collaborate cross-functionally with Product, Engineering, Growth, and Lifecycle Marketing to translate analytical findings into product decisions and shipped features.
Proactively identify and size growth opportunities by being closest to the data, and then partner with stakeholders to get those opportunities prioritized and executed.
Build automation tools and pipelines that increase team efficiency and scalability.
Contribute to the team's culture of learning and knowledge sharing. Teach and learn from your teammates, and help make others successful.
Take ownership and ship iteratively; believe that simple is better and Occam's razor is your friend.
5+ years of experience in data science, decision science, or a similar quantitative role, including experience as the primary data scientist for a product domain or function.
Strong product analytics skills. A deep experience understanding user funnels, activation metrics, and translating product usage data into actionable growth insights.
Excellent stakeholder management and communication skills. Able to partner closely with product managers and present complex analytical findings to senior leadership.
Curiosity and ownership: willing to dive deep into product strategies, business context, and data to surface insights proactively while handling ambiguity.
Deep expertise in experimental design and causal inference (A/B testing, non-inferiority tests, factorial designs, power analysis, and related methods). This is core to the role.
Strong technical skills in SQL and Python, with hands-on experience in data pipeline tools such as dbt and Airflow.
Strong understanding of data visualization and analytics engineering principles.
Results-driven mindset: comfortable keeping things as simple as possible to achieve product goals.
Able to build and maintain multi-functional relationships with various teams across the business.
Prior experience in growth, go-to-market, or product-led growth data science is a strong plus (but not essential).
Experience in fintech or financial services is a plus.
Experience mentoring or coaching junior data scientists is a plus.
🌸 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.
ICYMITechnology & 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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