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Über
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 makingLeveraging machine learning and algorithms to help Wealthsimple build smarter financial productsUsing 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. 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 gapsBelieve 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 goalsCuriosity: willing to dive deep into product strategies and business context.
- Experience working in the fraud domain is a plus
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.
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.
Sprachkenntnisse
- English
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