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.
What you will do:
- Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple's highest priority efforts
- Lead a best-in-class team of data scientists and analytics developers and grow each individual
- Build robust, efficient, and integrated data models in cloud data warehouses that will be used as the source of truth for analytics across the Investing product organization
- Set organizational standards and influence our data science and engineering culture
- Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented, and maintained
- Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions
- Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend
- Take ownership and ship it
- Empower the team by leveraging their diverse educational backgrounds
- Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)
Who you are:
- Ability to articulate their stance in a manner that effectively collaborates with different stakeholders
- Adjusts quickly to changing priorities and effectively manages complexity and change
- Can coach people in their current roles to improve performance and prepare them for future roles
- In addition to leading, a willingness to roll up their sleeves to tackle challenging technical problems
- Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams
- Plans, organizes, schedules, and budgets in an efficient, productive manner
- Is eager to teach and learn from their team. We value making each other successful!
- Is a lifelong learner. You're constantly seeking and welcoming feedback to continue improving yourself and your craft
Skills we look for:
- Experience leading data teams and a proven dedication to helping your teams and others grow
- Strong business acumen and product sense and ability to help drive strategic vision
- Excellent Python and SQL skills
- Deep expertise in data warehouse architecture and advanced data modelling principles
- Proven track record in designing and implementing robust data pipelines and complex data transformations
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.
