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 Data Science & Engineering (DSE) team at Wealthsimple consists of analytics engineers and data scientists with diverse backgrounds in mathematics, operations research, economics, computer science, engineering, and business. Together, they are responsible for enabling data-driven decision making and developing sophisticated data products across the organization.
The team achieves these objectives by building a high quality, scalable, state-of-the-art data warehouse that serves as the foundation for all company insights and decision making, while simultaneously leveraging machine learning and advanced algorithms to create smarter financial products. Furthermore, they utilize decision science to understand the cause and effect of business decisions, ensuring that every strategic move is backed by empirical evidence.
We are hiring a Senior Data Scientist for the Fraud team. The team is responsible for enabling Wealthsimple to grow safely by balancing fraud risk and client experience. The team is staffed with seasoned data experts and well supported by product managers, software developers, and fraud strategists. A successful candidate is able to blend expertise in product analytics, machine learning, and experimental design while effectively communicating with stakeholders.
What you'll doWork closely with product managers to identify business opportunities, define success metrics, and execute product strategies to improve client experience.
Develop and deploy machine learning models for fraud detection.
Design and analyze experiments for new product/feature launches.
Monitor and report fraud trends and client experience gaps
Believe that simple is better - Occam's razor is your friend.
Take ownership and ship it; release incrementally and iteratively.
Teach and learn from your teammates. We value making others successful
Experience in product analytics and experimental design.
Experience in building end-to-end machine learning pipelines.
Data storytelling: able to explain data findings/solutions to non-technical audience.
Strong technical skills in coding (SQL & Python).
Comfortable with software engineering best practices.
Results-driven: keep things simple to achieve the product goals
Curiosity: willing to dive deep into product strategies and business context.
Experience working in the fraud domain 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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