Associate, Fraud Strategy & Analytics
Canada
- Remote-first
- Website
- @Wealthsimple 𝕏
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Wealthsimple
Wealthsimple is the simple way to grow your money like the world's most sophisticated investors. No-maintenance portfolios, expert investment advisers and low fees.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 Fraud team 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.
A typical week in this role would have you solving ambiguous problems in a fast-paced environment that prioritizes shipping and iterating new features for our clients. Our Fraud team is staffed with seasoned engineers, product managers, and data scientists. We need a dynamic problem-solver who can collaborate with these teams to deliver on business cases, real-time fraud defences, financial modelling, data visualization and ML decision thresholds.
Our team is at the forefront of every new feature launch, and you will get the opportunity to collaborate with product, technology, and risk while seeing your work create big impacts to the business. Your strategies will mitigate millions of dollars of attempted fraud annually while protecting the financial security of over 3 million clients.
In this role, you will have the opportunity to:
- Build data-driven business cases around fraud strategies to manage the risk on new & existing products
- Partner with data science, product and engineering teams to bring your ideas to market
- Create metrics & visualizations to monitor account activity, applying judgment skills to uncover anomalous patterns
- Share fraud trends and performance with leadership
- Apply financial modelling to estimate the fraud loss impact of new feature launches
- Develop grounded decision thresholds using ML based risk scores
We're looking for someone who:
- Has strong data skills, with applied experience and demonstrated success in academic and/or professional settings
- Experience in structuring ambiguous problems, using data to conduct quantitative and qualitative analysis, and synthesizing results into actionable proposals
- Can develop and communicate stories to both technical and non-technical stakeholders
- Can internalize and weigh information to come to balanced decisions
- Is intellectually curious and passionate about their work
- Experience working with large datasets and languages like SQL, R, or Python
- Experience working with data visualization softwares such as Tableau, Looker, PowerBI, etc
- Experience working with databases like Snowflake, Redshift, MySQL
Preferred qualifications:
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 StatementAt 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 StatementWealthsimple 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data visualization Engineering FinTech Fraud risk Looker Machine Learning MySQL Power BI Python R Redshift Security Snowflake SQL Tableau
Perks/benefits: Career development Competitive pay Flex vacation Health care Insurance Unlimited paid time off Wellness
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