Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. The Finance, Brokerage and Market Risk Data Science team is a dynamic group of data scientists and analytics developers who deliver high-quality financial metrics and advanced analytics that drive key decisions at Wealthsimple. We support financial planning, treasury operations, liquidity management, and brokerage risk assessment for products like margin trading and options. Our team has created a solid foundation for data-driven financial decision-making. Now we're ready to scale these initiatives, optimizing financial resources and enhancing risk management as our product offerings grow increasingly sophisticated. In this role, you'll make a significant impact through advanced analytics that support both strategic financial planning and sophisticated market risk management across our expanding brokerage services.



Own the development and maintenance of the finance and market risk data marts, optimizing for performance, data quality, reliability, and efficiency Design, build, and document robust data pipelines that generate critical financial reports and metrics for stakeholders across the organization Build, automate, and maintain brokerage reporting & monitoring systems, ensuring data integrity and accuracy across financial processes Partner closely with business stakeholders in brokerage and market risk to launch and support new financial products and model development initiatives Create insightful dashboards and visualizations to monitor brokerage KPIs, profitability metrics, and regulatory reporting requirements Provide business intelligence support for trade and collateral monitoring, financial reporting, product performance analysis, and forecasting initiatives Translate complex business requirements into scalable analytics solutions that address key financial and risk management needs Participate in code reviews and contribute to best practices for data engineering and analytics development Mentor junior team members and share knowledge to elevate the team's technical capabilities 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management Strong proficiency in SQL with the ability to write complex queries, optimize performance,



and work with large-scale datasets Experience working at brokerage operations or financial services, with knowledge of accounting principles and market risk concepts (preferred) Familiarity with regulatory reporting requirements and financial product structures (a plus) Hands‑on experience building and orchestrating data pipelines using modern tools such as dbt, Airflow, or similar workflow management platforms Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent) Proficiency in Python for data manipulation, automation, and scripting Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews Proven ability to translate complex business requirements into scalable, data‑driven solutions Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms Understanding of analytics engineering principles and best practices for building maintainable, well‑documented data models Excellent communication and interpersonal skills, with the ability to explain technical concepts to non‑technical stakeholders Demonstrated ability to collaborate effectively with cross‑functional teams, including finance, risk, and product teams Top‑tier health perks and life insurance Long‑term group savings with employer match, through Wealthsimple for Business 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year
* Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS Technology & Innovation at Wealthsimple: That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a pro

📌 Sr Data Scientist, Finance, Brokerage (Canada)
🏢 Wealthsimple
📍 Canada