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Toronto, Ontario, Canada
Hybrid
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.
Credit & Fraud Analytics Intern (Winter 2027)
Location: Toronto, ON (Hybrid)
At Wealthsimple, we offer 4 to 8-month internships that are open to co-op and non-co-op students, and recent grads. During your internship, you will have the opportunity to contribute to projects that are changing the landscape of financial services for Canadians. You will be on a team that supports your growth, provides mentorship, and connects you to the broader Wealthsimple community!
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 is a single posting for internship opportunities across two closely partnered risk teams. You'll be placed on one of them based on fit and business need, and you'll work with the other throughout your term.
Credit Analytics is part of Wealthsimple's retail lending group, building a team of exceptional lending professionals with diverse backgrounds. We're taking on green-field lending, starting with small data and growing through iteration and experimentation. The team manages a suite of inclusive retail lending products, optimizing risk and return while delighting customers. We're building inclusive financial products and want someone willing to challenge the status quo of what it means to be credit-worthy.
Fraud Countermeasures is responsible for enabling Wealthsimple to grow safely. We aim to balance fraud risk and client experience: our mission is to minimize losses while creating seamless experiences. Our goal is to use data and analytics to make every decision a rational one. The team is at the forefront of every new feature launch, and its strategies mitigate millions of dollars of attempted fraud annually while protecting the financial security of over 3 million clients.
Both roles require cross-functional collaboration with engineering, product, data science, and client experience teams. A typical week has you solving ambiguous problems in a fast-paced environment that prioritizes shipping and iterating new features for our clients. These teams are a great place to see your work deliver significant business impact and accelerate Wealthsimple's goal to be the primary financial service provider to millions of Canadians.
Depending on your placement, your projects will draw from the following:
Credit strategy and portfolio performance
Support the development of strategies to manage risk and optimize performance across Wealthsimple's credit card products and other retail lending domains — approval, initial limits, line management, pricing, authorization, and collections.
Evaluate the performance of lending portfolios, campaigns, strategies, and experiments.
Recommend strategy enhancements to improve marginal profitability and mitigate emerging risks.
Support the execution and analysis of retail lending campaigns that drive revenue by changing approvals, line management, pricing, credit limits, and recovery rates.
Fraud strategy and countermeasures
Help build data-driven business cases around fraud strategies to manage risk on new and existing products, including our credit and prepaid card programs.
Create metrics and visualizations to monitor account activity, applying judgment to uncover anomalous patterns.
Apply financial modelling to estimate the fraud loss impact of new feature launches.
Support the development of grounded decision thresholds using ML-based risk scores.
Shared across both
Partner with data science, product, and engineering to bring ideas to market and implement strategies that drive immediate impact.
Share trends and performance with leadership, and work across many teams to support roadmaps.
Has strong data skills — dashboards, reporting, visualization, and data manipulation — with applied experience and demonstrated success in academic and/or professional settings.
Has experience using SQL to conduct quantitative and qualitative analysis, and synthesizing results into actionable proposals.
Can develop and communicate stories to both technical and non-technical stakeholders.
Is able to internalize and weigh information to come to balanced decisions.
Is intellectually curious, passionate about their work, and wants ownership over their projects.
Applications close Sep 18th at 11:59 PM EST.
1. Application + Video Submission: Apply and upload a short video on the application form.
2. Technical Interview: A 1-hr coding interview with one or two interviewers. The interview will be conducted in SQL.
3. Final Interview: A 30 minute interview with two managers. 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.
5. Offers: Offers extended!
Enrolled in a Canadian post-secondary institution, technical bootcamp or a new graduate (Within 6 months of your graduation date)
Available to work full-time hours
Residing in Canada
Able to commute to our Toronto HQ on Wednesdays and Thursdays
Working toward a business or quantitative-based degree with high academic achievement.
Any proven application of a coding language, with SQL and Python preferred.
Exposure to statistical or quantitative analysis: experimental design, champion/challenger (or A/B) testing, model accuracy validation, constrained optimization, decision trees, discounted cash flows, and financial modelling.
🤑 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.