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 4 million users who trust us with more than $50 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:
The FACT (Fraud, AML, and CrediT) Data Science & Engineering team consists of data scientists and analytics developers with diverse educational backgrounds. The team is responsible for delivering advanced analytics to support data-driven risk management and financial valuations at Wealthsimple. The team is staffed with seasoned data experts and well supported by product managers, software developers, and risk strategists.
We are hiring a data scientist for the FACT DSE team. You will be responsible for the design and execution of product experiments and building robust machine learning pipelines that drive key product decisions at Wealthsimple. A successful data scientist is able to blend expertise in experimental design, predictive modelling and software engineering while effectively communicating with stakeholders.
What you will do: Design and execute product experiments to help improve Wealthsimple’s client experienceProductionize and make continuous improvements to some of Wealthsimple’s flagship machine learning modelsBuild a repository of machine learning features to support a variety of advanced analytics tasks across the businessTranslate experimental results into products and solutionsEnsure models are well tested, documented and maintainedBelieve that simple is better, Occam's razor is your friendTake ownership and ship it; release incrementally and iterativelyTeach and learn from your teammates. We value making others successfulWho you are: Experience in complex experimental design (A/B tests, factorial design)Experience in building end-to-end productionized machine learning pipelinesStrong technical skills in coding (SQL & Python) and statistical methodsComfortable with software engineering best practices such as unit testing and version controlExperience with machine learning feature engineeringResults-driven: keeping things as simple as possible to achieve the product goalsCuriosity: willing to dive deep into product strategies and business contextAble to build and maintain multi-functional relationships with various teams across the businessExperience working in the risk management domain is a plusWhy 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!
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.
