Role overview

Wealthsimple is Canada’s leading financial technology company serving over 4 million Canadians with managed investing, trading, cryptocurrency, tax filing, and spending products. In this Staff-level individual contributor role on the Fraud Countermeasures team within Data Science, you will own the fraud prevention strategy for Wealthsimple’s card products, working independently with manager-level impact while leading through expertise rather than managing direct reports.

Key responsibilities

Develop and execute fraud strategy across application, transaction, and account takeover fraud for the company’s card products.
Manage the card fraud loss budget as transaction volumes grow and defend against fraud attacks that could exceed budgeted losses.
Design, backtest, deploy and refine detection rules, and calibrate decision thresholds on machine learning risk scores.
Analyze trade-offs between fraud losses prevented, operational costs, and customer experience to recommend the best approach for each situation.
Collaborate with Product and Engineering teams to implement controls that prevent fraud while minimizing friction for legitimate users, such as step-up authentication alternatives to outright declines.
Provide guidance and mentorship to data scientists and analytics developers within your pod on strategy, rule building and problem-solving approaches.

Requirements

At least 6 years of fraud prevention experience, with a minimum of 3 years directly managing card fraud prevention at an issuer, fintech company, or payments platform.
Proven hands-on ownership of card fraud strategy covering application, transaction, and account takeover fraud types.
Advanced SQL proficiency to write complex queries independently against transaction-level data.
Demonstrated track record designing, backtesting, shipping and tuning fraud rules with ability to communicate precision, catch rate and approval rate impact.
Experience quantifying fraud prevention savings relative to operational and customer experience costs to make clear recommendations.
Practical experience using AI tools in daily work with concrete examples of how they improved your output.
Ability to influence stakeholders across Product, Engineering, credit risk, operations and external vendors without direct authority, plus strong communication skills with both technical and non-technical audiences.

What makes this role worth considering

You’ll work within a small pod structure that pairs directly with data scientists and analytics developers, sitting alongside Product and Engineering on every feature launch. The Fraud Countermeasures team uses data-driven decision-making and AI tools to tackle one of the highest-stakes problems at the company, giving you real accountability and autonomy over outcomes. This remote position is open to any timezone in Canada, and you’ll be part of a hybrid organization of over 1,500 employees across North America known for talented, curious, and driven teammates.