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forecasting sql python data visualization machine learningπ Description
- Apply analytics to solve finance & market risk problems.
- Develop and maintain the finance data mart; optimize data quality and accessibility.
- Create dashboards for financial KPIs, profitability, and regulatory reporting.
- Collaborate with finance, risk, and product teams for BI support and forecasting.
- Productionize ML models; ensure tests, docs, and maintenance.
- Build automation tools and data pipelines to scale analytics.
π― Requirements
- Strong SQL and Python skills plus statistical methods.
- Strong data visualization principles and analytics engineering.
- Build and maintain cross-functional relationships across teams.
- Experience in building end-to-end production ML pipelines.
- Familiar with unit tests and version control.
- Results-driven; focus on simplicity to reach goals.
π Benefits
- Top-tier health benefits and life insurance.
- Long-term savings with employer match.
- 20 vacation days, 4 wellness days, unlimited sick/mental health days.
- 90 days away program to work outside Canada.
- Employee Resource Groups (e.g., Rainbow, Women of WS).
- Remote-first team across North America.
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