Design, build, and maintain high-quality analytical data models that support core brokerage and ledger workflows.
Own critical datasets that power client-facing metrics, operational decision-making, and regulatory reporting.
Work with large, complex, and often imperfect data sources, making trade-offs explicit and outcomes reliable.
Partner closely with product managers, engineers, operations, finance, compliance, and CX teams to understand stakeholder needs and translate them into durable data solutions.
Take a product-minded approach to analytics: designing datasets for clarity, usability, and long-term maintainability, not just correctness.
Establish and uphold standards for data quality, testing, documentation, and observability.
Use automation and modern tooling to reduce manual work and increase confidence in outputs.
Apply AI-assisted workflows thoughtfully to improve speed, quality, or insight generation, and clearly articulate where and why they add value.
Mentor and support other analytics developers through design reviews, code reviews, and informal coaching.
Communicate complex data concepts clearly, helping partners understand not just what the data says, but how to use it.

Demonstrated experience working with large, complex analytical datasets in a production environment.
Strong SQL skills and experience building analytical models or data marts that are consumed by others.
Product-oriented mindset with a focus on data usability, consistency, and long-term ownership.
Experience collaborating with non-technical stakeholders and translating ambiguous questions into concrete analytical work.
Familiarity with modern analytics tooling such as dbt, Airflow, Python, and cloud data warehouses (e.g. Redshift, Snowflake). Deep expertise in every tool is not required.
Experience applying AI tools or techniques to analytics or data engineering workflows, with the ability to explain the impact clearly.
Comfort working in regulated or high-stakes environments where correctness, auditability, and trust matter.
Experience in financial services, trading, or accounting is a plus, but not a requirement.

Top-tier health benefits and life insurance
Long-term group savings with employer match using our Wealthsimple for Business platform
20 vacation days + 4 wellness days per year, and unlimited sick and mental health days
90 days away program: Employees can work outside of Canada for up to 90 days per calendar year
A wide variety of peer and company-led Employee Resources Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS)

Senior Analytics Developer, Brokerage & Ledger Product Data Science

Key skills