The Senior Data Scientist will develop machine learning models for fraud detection, collaborate with product managers, analyze experiments, and communicate findings to enhance client experience while supporting fraud risk management.
Build something people love
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 and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with 3+ million users who trust us with more than $100 billion in assets. And we’re just getting started.
We’re looking for someone who thinks big, sweats the small stuff and keeps things simple. You’ll join a high-bar, fast-paced team where people are trusted to own their work, communicate openly, and ship things that improve our clients’ lives. Collaboration, humility, and an obsession over quality are how we get stuff done.
The 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.
In this role, you will have the opportunity to:
- 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
Requirements:
- 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
Compensation & Equity
🤑 Base salary range: For this role, candidates located in Canada can expect a base salary range of CAD $151,200 - $189,000. Actual compensation is determined based on skills, experience, and role level. Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role.
🚀 Total compensation: In addition to base salary, this role includes equity compensation. We use clear job levels and market-based salary bands to ensure compensation is fair and consistent across the company.
Why Wealthsimple?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match using our Wealthsimple for Business platform
🌴 20 vacation days + 4 wellness days per year, and unlimited sick and mental health days
✈️ 90 days away program: Employees can work outside of Canada for up to 90 days per calendar year
👥 A wide variety of peer and company-led Employee Resources Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS)
🌎 We’re a remote first team with over 1,500 employees across North America - and one of the best things about working here is the people. You’ll be collaborating with incredibly talented, curious, and driven teammates who care deeply about doing great work.
Be a part of our Canadian success story and help shape the financial future of millions.
Read our Culture Manual and learn more about how we work.
Technology & Innovation at Wealthsimple
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 build a company that evolves at the pace of the world around us, and we want you to help lead that future.
DEI Statement
At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement
Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.
Top Skills
Python
SQL
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