Sr Data Scientist, Finance, Brokerage & Market Risk

Wealthsimple Technologies · Remote · Remote (Canada) ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Hybrid (North America)
  • Finance & Risk focus
  • SQL + Python + dbt
  • AWS cloud environment

Join the Finance, Brokerage and Market Risk Data Science team at Wealthsimple. You will deliver high-quality financial metrics and advanced analytics that drive key decisions across managed investing, trading, and cryptocurrency products. The team supports financial planning, treasury operations, and liquidity management while scaling initiatives for sophisticated product offerings.

What you'll do

  • Own development and maintenance of finance and market risk data marts
  • Design and build robust data pipelines for critical financial reports
  • Automate and maintain brokerage reporting and monitoring systems
  • Partner with stakeholders to launch new financial products and models
  • Create dashboards to monitor KPIs, profitability, and regulatory needs
  • Provide business intelligence for trade, collateral, and forecasting
  • Translate complex business requirements into scalable analytics solutions
  • Mentor junior team members and contribute to code reviews

What you'll need

  • 5+ years in data engineering or analytics development
  • Expertise in data mart architecture, design, and management
  • Strong proficiency in SQL for complex queries and optimization
  • Proficiency in Python for data manipulation and scripting
  • Experience with dbt, Airflow, or similar workflow tools
  • Working knowledge of AWS services like S3, Redshift, or Snowflake
  • Experience with Git and GitHub for version control
  • Strong data visualization skills using Tableau, Looker, or Power BI
  • Excellent communication skills for non-technical stakeholders

Nice to have

  • Experience in brokerage operations or financial services
  • Knowledge of accounting principles and market risk concepts
  • Familiarity with regulatory reporting requirements
  • Understanding of financial product structures

Stack

  • SQL
  • Python
  • dbt
  • Airflow
  • AWS
  • S3
  • Redshift
  • Snowflake
  • Git
  • GitHub
  • Tableau
  • Looker
  • Power BI

How you'll work

  • Hybrid work model
  • Team located across North America
  • Option to work outside Canada for up to 90 days per year

What you get

  • Top-tier health benefits and life insurance
  • Long-term group savings with employer match
  • 20 vacation days and 4 wellness days annually
  • Unlimited sick and mental health days
  • Employee resource groups for diverse communities