BUILD SOMETHING PEOPLE LOVE
Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we 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 https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
ABOUT THE TEAM
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.
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. 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.
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
- 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
SKILLS YOU BRING
- 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 strategi