Senior Associate, Fraud Strategy and Analytics

Key Skills

Amazon RedShift, Data Analytics, Data science techniques, Data Visualization, Database, Looker, MySQL, PowerBI, Snowflake, Tableau

Job Description

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 features launches
• Develop grounded decision thresholds using ML based risk scores

We're looking for someone who:

• Has strong data skills with applied experience in a risk function like fraud or credit
• Experience using SQL to conduct quantitative 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 and passionate about their work

Preferred qualifications

• Experience working with card processing systems like TSYS and i2c
• Experience working with data visualization softwares such as Tableau, Looker, PowerBI, etc
• Experience working with databases like Snowflake, Redshift, MySQL

Why 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!

Read our Culture Manual and learn more about how we work.

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.