Your career is a long-term investment that grows with time.

Wealthsimple aims to help everyone reach financial independence by redefining how people manage their money. With smart technology, we take financial services that are typically confusing, costly, and difficult to access, and make them clear, affordable, and available to all. We’re Canada’s largest fintech company, trusted by over 4 million users and managing more than $50 billion in assets.

Our teams ship quickly and make a real impact with innovative ideas. We’re looking for talented people who value simplicity, collaboration, and humility as we continue building inclusive, high-performing teams where everyone can do their best work.

About the team:

The FACT (Fraud, AML, and CrediT) Data Science & Engineering team is made up of data scientists and analytics developers from a wide range of academic backgrounds. The team delivers advanced analytics that support data-driven risk management and financial valuation at Wealthsimple. The team includes experienced data professionals and works closely with product managers, software developers, and risk strategists.

We are hiring a data scientist to join the FACT DSE team. In this role, you will design and run product experiments and build reliable machine learning pipelines that shape key product decisions at Wealthsimple. Successful data scientists combine skills in experimental design, predictive modeling, and software engineering while communicating effectively with stakeholders.

What you will do:

• Design and run product experiments to improve the Wealthsimple client experience
• Deploy and continuously refine some of Wealthsimple’s core machine learning models
• Build a central repository of machine learning features that supports advanced analytics across the company
• Turn experimental insights into real products and solutions
• Ensure models are thoroughly tested, documented, and well maintained
• Prefer simple, effective solutions—Occam’s razor guides your approach
• Take ownership and deliver work incrementally
• Share knowledge and support your teammates—we succeed together

Who you are:

• Experienced in complex experimental design (A/B testing, factorial experiments)
• Skilled in building end-to-end production machine learning pipelines
• Strong in SQL, Python, and statistical techniques
• Comfortable with software engineering practices like unit testing and version control
• Experienced in feature engineering for machine learning
• Focused on achieving results with simple, practical solutions
• Curious and eager to understand product strategy and business context
• Able to build strong cross-functional relationships
• Experience in risk management is an asset

Why Wealthsimple?

• Competitive salary with excellent health benefits and life insurance
• Retirement savings matching through Wealthsimple Work
• 20 vacation days annually plus unlimited sick and mental health days
• Up to $1,500 per year for wellness and another $1,500 for professional development
• Work internationally for up to 90 days per year in eligible countries
• Access to a variety of employee resource groups (Rainbow, Women of Wealthsimple, Black @ WS, and more)
• Company-wide wellness days throughout the year

We’re a remote-first company with over 1,000 employees across North America. Join us and help shape the financial future of millions.

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

DEI Statement:

At Wealthsimple, we build products for a diverse world, and we need a diverse team to do that. We strongly encourage applicants from all backgrounds, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability.

Accessibility Statement:

Wealthsimple is committed to providing an accessible experience for all candidates. If you need accommodations during the interview process, please let us know and we will work with you to support your needs. We continue to improve our accessibility practices and welcome feedback on how we can better serve candidates requiring accommodations.