Shape advanced financial analytics at Wealthsimple using SQL, Python, and data visualization across finance, brokerage, and market risk. This hybrid role supports decisions.

As a Senior Data Scientist, you will develop finance and market risk data marts, pipelines, reporting systems, and dashboards. Your work supports financial planning, treasury operations, liquidity management, brokerage risk assessment, and product initiatives. You will translate complex requirements into scalable solutions while collaborating with finance, risk, product, and brokerage stakeholders.

Key Responsibilities:
Develop and maintain finance and market risk data marts
Build documented pipelines for financial reports and metrics
Automate brokerage reporting and monitoring systems




Create dashboards for profitability and regulatory reporting
Mentor team members and contribute to code reviews

Requirements:
Five-plus years in data engineering or analytics development
Solid SQL skills with large-scale datasets
Python proficiency for manipulation, automation, and scripting
Experience with dbt, Airflow, or similar tools
Knowledge of AWS, Git, and data visualization platforms

Apply advanced analytics, scalable data engineering, and financial risk expertise to Wealthsimple’s growing brokerage services.
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📌 Senior Financial Data Scientist Toronto
🏢 Portage Ventures
📍 Toronto