Wealthsimple
Toronto
201-500 employees
Powerful financial tools to help you grow and manage your money.
Other Open Roles
Prior Listings
- Data Scientist, Clients Algorithms
- Data Scientist, Growth Algorithms
- Data Science & Engineering Manager, Senior Manager
- Client Experience Data Analyst
- Senior Software Engineer - Data Engineering
- Data Scientist
- Senior Data Scientist, Growth Algorithms
- Data Scientist
- Senior Data Scientist, Natural Language Processing
- Data Science Internship (Fall 2022)
- Data Science Co-op (Winter 2022)
- Director of Data Engineering (Data Warehousing)
- Manager, Data Science - Credit
- Data Analyst
- Senior Data Scientist - Product Platform
- Analytics Engineer - Fraud
- Software Engineer, Data Engineering (Intermediate)
- Software Engineer – Machine Learning Platform
- Senior Data Scientist, Fraud
- Senior BI Analyst, Product FP&A
Senior Data Scientist - Product
Senior Data Scientist - Product
This job is no longer open
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 $40 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.
About the team
Our Data Science team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We are 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, and using decision science to understand the cause and effect of our business decisions.
Joining the team, you will partner with product managers in the Investing and Banking domains to drive decision-making at the heart of our business. Your work will have an immediate impact on our customers by influencing the product direction across our Investing and Banking domains.
In this role, you will have the opportunity to:
- Partner with our Investing and Banking Product team to work on some of Wealthsimple’s highest priority efforts.
- Build robust, efficient, and integrated data models in our cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization.
- Apply statistical techniques and build machine learning models to solve real-life product problems and to inform product decisions and strategies.
- Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented and maintained.
- Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions.
- Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend.
Skills we are looking for:
- Python & SQL skills. You are bringing 5+ years of first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter.
- Ability to lead projects from ideation to production.
- Experience working in a collaborative environment with product managers, designers and engineers.
- Strong understanding of statistics (both frequentist and Bayesian approaches).
- Strong understanding of fundamental machine-learning algorithms (regression and decision trees).
We are looking for someone who:
- Is able to articulate their stance in a manner that effectively communicates why a solution could be the best way forward.
- Adjusts quickly to changing priorities and effectively manages complexity and change.
- Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams.
- Plans, organizes, schedules, and budgets in an efficient, productive manner.
- Is eager to teach and learn from your team. We value making each other successful!
- Is a lifelong learner. You’re constantly seeking and welcoming feedback to continue improving yourself and your craft.
Why Wealthsimple?
🤑 Competitive salary with top-tier health benefits and life insurance
📈 Retirement savings matching plan using Wealthsimple Work
🌴 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 (ie. Rainbow, Women of Wealthsimple, Black @ WS)
💖 Company-wide wellness days off scheduled throughout 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.
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.
This job is no longer open