Senior Data Scientist, Fraud

Your career is an investment that grows over time!

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 3+ million users who trust us with more than $100 billion in assets.

Our teams ship often and make an impact with groundbreaking ideas. We're looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work.

The Data Science & Engineering (DSE) team consists of analytics engineers and data scientists with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple.

We achieve these goals by building a high quality and scalable state-of-the‑art data warehouse that powers all decision making. Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products. Using decision science to understand the cause and effect of our business decisions.

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.

• 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. 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.

• Competitive salary with top‑tier health benefits and life insurance.
• Retirement savings matching plan using Wealthsimple for Business.
• 20 vacation days per year and unlimited sick and mental health days.
• Up to $1,500 per year towards wellness and professional development budgets respectively.
• 90 days away program:
  Employees can work internationally in eligible countries for up to 90 days per calendar year.
• A wide variety of peer and company‑led Employee Resource Groups (i.e. Rainbow, Women of Wealthsimple, Black @ WS).
• Allocated number of Wellness Days that can be scheduled over the course of the year!

We’re a remote‑first team, with over 1,000 employees coast to coast in North America. Be a part of our Canadian success story and help shape the financial future of millions — join us!

Read our Culture Manual and learn more about how we work.

We believe the future belongs to those who innovate boldly. At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value. We're looking for people who are not just comfortable with change but energized by it. Our commitment is to…