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Wealthsimple

Manager, Analytics Engineering

🌎

Canada

2w ago
πŸ‘€ 7 views
πŸ“₯ 0 clicked apply

Job Description

Your career is an investment that grows over time!

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 Data Science Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple.

We achieve these goals by:
-Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
-Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
-Using decision science to understand the cause and effect of our business decisions

About the role:
At Wealthsimple, the Financial Operating System (FOS) domain offers the fundamental financial building blocks necessary to develop our financial products. The domain empowers our customers with a robust financial platform that delivers real-time insights, ensures impeccable data integrity, and creates trust building experiences.

We are hiring for an experienced hands-on Analytics Engineering leader to join our FOS leadership team. This individual will work on some of our highest priority initiatives, including optimizing our data infrastructure, enhancing our data models, and driving data-driven decision making across the organization. The ideal candidate will ensure that our product strategy is well-grounded in data and analytics, leveraging their expertise to guide our teams in extracting meaningful insights from complex financial data sets. We're looking for someone with a strong background in analytics, a proven track record in leadership, and the ability to translate technical concepts into actionable business strategies.

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