Senior Data Scientist, Fraud

Build Something People Love Wealthsimple's mission is to help everyone achieve financial freedom by making financial services simple, transparent, and low-cost. We are Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, own our work, and 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 Team The Data Science & Engineering (DSE) team consists of analytics engineers and data scientists with diverse backgrounds in mathematics, operations research, economics, computer science, engineering, and business. Together, they enable data‑driven decision making and develop sophisticated data products across the organization. The team builds a high‑quality, scalable data warehouse that serves as the foundation for all company insights while leveraging machine learning and advanced algorithms to create smarter financial products.

They also use decision science to understand the cause and effect of business decisions, ensuring every strategic move is backed by empirical evidence. About the Role 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 and is staffed with seasoned data experts supported by product managers, software developers, and fraud strategists.

A successful candidate blends expertise in product analytics, machine learning, and experimental design while communicating effectively with stakeholders. What You’ll Do Work 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. Apply simple solutions – Occam's razor is your friend.

Take ownership and ship incremental iterations. Teach and learn from teammates, valuing others’ success. Skills You Bring Experience in product analytics and experimental design.

Experience building end‑to‑end machine‑learning pipelines. Data storytelling: ability to explain findings to non‑technical audiences. Strong technical skills in SQL & Python.

Comfortable with software engineering best practices. Results‑driven: keep it simple to achieve product goals. Curiosity: willing to dive deep into product strategies and business context.

Experience working in the fraud domain is a plus. 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. Hybrid team with over 1,500 employees across North America.

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 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. Compensation Range: CA$151.2K – CA$189K #J-18808-Ljbffr