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Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.
Location: Toronto, ON (Hybrid)
We offer 4-8 month internships designed for co-op students, non-co-op students, and recent graduates who are ready to ship impactful work. You'll join a high-performing team where you'll contribute to projects that are fundamentally changing how Canadians manage their money. We're committed to your growth, providing the mentorship and community you need to deepen your craft and leave better than you arrived.
Our internship program operates on a hybrid model out of our Toronto headquarters. You'll be in-office on Wednesdays and Thursdays to collaborate, connect, and learn in person, while maintaining the flexibility of remote work for the rest of the week.
This posting covers two roles: Software Development and Data Science Intern. Please apply to the one that best fits your interests.
Please note: the role you apply for is the role you will be assessed on throughout the interview process. We are unable to accommodate requests to switch between Software Development and Data Science tracks after submission.
Our engineering organization spans everything from product-focused pods to financial infrastructure, building the software that powers our entire suite of services. We operate with a platform-as-a-product mindset, leveraging microservices and an agile, high-iteration approach. With rigorous automated testing and a deployment frequency of 100+ times a day, we move fast while staying secure.
Product Engineering: Drives the development of our core offerings across Investing, Banking, Lending & Marketing. This team builds intuitive and impactful features that empower millions to achieve their financial goals. If you're passionate about crafting user-centric solutions and seeing your work make a real difference, this is your team.
Main stack: React, Typescript, Ruby on Rails, Python
Platform Engineering: Empowers developers by providing the platforms, tools, and infrastructure needed to build and maintain fast, reliable, secure, and scalable systems. Teams include Reliability, Infrastructure, Data Foundations, Dev Tooling, Edge and AI Platform, built with a platform-as-a-product mindset.
Main stack: Typescript, Ruby on Rails, Python, Kubernetes, Snowflake
Book of Records (BOR): Builds the core financial building blocks powering our products, including a real-time ledger, and enables product teams to innovate with confidence.
Main stack: Java, Kotlin
Python used across automation, data, and internal tooling
Hosted on AWS (RDS, Aurora, SQS, SNS, S3, Kafka)
Deploying code 100+ times a day with rigorous automated testing
Best-in-class tooling for profiling, logging, tracing, and experimentation
Data Science at Wealthsimple turns complex, real-world financial data into decisions, products, and experiences that help millions build wealth. We partner closely with Product, Engineering, and business leaders to design experiments, build models, and surface insights that shape what we ship.
Agentic Analytics & Context Engineering
Banking & AI Products DSE
Growth & Investing Data Science
Enablement Data Science
Credit Analytics
Fraud & AML Countermeasures
Together, these teams cover the full range of our data work, from building the data infrastructure and tooling that power the business, to partnering directly with banking, growth, and investing product teams, to bringing decision science to our operational and financial backbone, to owning the analytics and machine learning behind credit and fraud risk. Wherever you land, you'll be working with real production data to help shape decisions that directly impact millions of clients.
Tech stack:
Python-first environment with Pandas, scikit-learn, NumPy, and Jupyter
SQL for data access and manipulation across large, production datasets
Statistical foundations across both frequentist and Bayesian approaches
Machine learning toolkit spanning regression, decision trees, and beyond
Experimentation infrastructure for A/B testing and causal inference at scale
Take ownership without being asked. See something broken and fix it
Ship fast/frequently and know what's worth iterating on (and what to cut)
Tackle new, complex problems with curiosity and self-direction
Use AI tools in their workflow and are curious about what else is possible
Communicate clearly and care about the person on the other end of what they're building
Believe that debate, inclusivity, and transparency make for better products
Applications close Sep 18th at 11:59 PM EST.
1. Application + Video Submission: Apply and submit a short video using the prompt in the application form.
2. Technical Interview: A 1-hour coding interview in the language you chose on your application form.
3. Final Interview: A 30 minute interview with an engineering or data science manager. Bring a project you're proud of and walk through your role, decisions, trade-offs, and lessons learned. We'll also discuss your collaboration style and how you approach learning and growth.
4. Offers: Offers extended!
Enrolled in a Canadian post-secondary institution, technical bootcamp, or a new graduate (Within 6 months of your graduation date)
At least 2 paid software development/data science work terms completed
Legally authorized to work in Canada (Wealthsimple does not provide immigration or relocation support for interns)
🤑 Base salary range: For this role, candidates can expect the following base salary range:
• Term 1 students: CAD $74,000 - $78,000
• Term 2 students: CAD $77,000 - $81,000
• Term 3 students: CAD $80,000 - $84,000
• Term 4 students: CAD $83,000 - $87,000
• Term 5 students: CAD $86,000 - $90,000
Your current year of study and number of past internship terms will determine your salary band. Actual compensation within each band is based on skills, experience, and academic performance. Exceptional candidates may be considered above the top of their year's range. 🚀
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year
✈️ 90 days away: work outside Canada for up to 90 days per year
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
