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Associate, Fraud Strategy & Analytics

Company

Wealthsimple

Address Canada
Employment type FULL_TIME
Salary
Category Transportation, Logistics, Supply Chain and Storage
Expires 2023-08-19
Posted at 9 months ago
Job Description
Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.


Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.


We’re a remote-first team and output is more important than facetime, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. 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.


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 and we need a dynamic problem-solver who can collaborate with these teams to deliver on business cases, real-time fraud defenses, financial modeling, 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 be responsible for the mitigation of 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:


  • Partner with data science, product and engineering teams to bring your ideas to market
  • Share fraud trends and performance with leadership
  • Apply financial modeling to estimate the fraud loss impact of new feature launches
  • Develop grounded decision thresholds using ML based risk scores
  • Create metrics & visualizations to monitor account activity, applying judgment skills to uncover anomalous patterns
  • Build data-driven business cases around fraud strategies to manage the risk on new & existing products
We're looking for someone who:


  • Has experience working with data visualization softwares such as Tableau, Looker, PowerBI, etc
  • Has experience working with large datasets and languages like SQL, R, or Python; databases like Snowflake, Redshift, MySQL
  • Is intellectually curious and passionate about their work
  • Is able to internalize and weigh information to come to balanced decisions
  • Has strong data skills, with applied experience and demonstrated success in academic and/or professional settings
  • Can develop and communicate stories to both technical and non-technical stakeholders
  • Experience in structuring ambiguous problems, using data to conduct quantitative and qualitative analysis, and synthesizing results into actionable proposals
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. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.